diff --git a/docs/api-reference/entities/delete-user.mdx b/docs/api-reference/entities/delete-user.mdx
index fef79f62a..3ec7e4f3e 100644
--- a/docs/api-reference/entities/delete-user.mdx
+++ b/docs/api-reference/entities/delete-user.mdx
@@ -1,4 +1,5 @@
---
title: 'Delete User'
+description: "Remove a user entity from the Mem0 platform by entity type and ID using the DELETE endpoint."
openapi: delete /v2/entities/{entity_type}/{entity_id}/
---
\ No newline at end of file
diff --git a/docs/api-reference/entities/get-users.mdx b/docs/api-reference/entities/get-users.mdx
index 84e0b526f..7453a0ccf 100644
--- a/docs/api-reference/entities/get-users.mdx
+++ b/docs/api-reference/entities/get-users.mdx
@@ -1,4 +1,5 @@
---
title: 'Get Users'
+description: "Retrieve a list of all user entities stored in the Mem0 platform using the GET endpoint."
openapi: get /v1/entities/
---
\ No newline at end of file
diff --git a/docs/api-reference/events/get-event.mdx b/docs/api-reference/events/get-event.mdx
index 08db45271..7acdb5b33 100644
--- a/docs/api-reference/events/get-event.mdx
+++ b/docs/api-reference/events/get-event.mdx
@@ -1,5 +1,6 @@
---
title: 'Get Event'
+description: "Retrieve details of a specific event by ID, including status and payload for async memory operations."
openapi: get /v1/event/{event_id}/
---
diff --git a/docs/api-reference/events/get-events.mdx b/docs/api-reference/events/get-events.mdx
index 2e83979f9..33cbc15b4 100644
--- a/docs/api-reference/events/get-events.mdx
+++ b/docs/api-reference/events/get-events.mdx
@@ -1,5 +1,6 @@
---
title: 'Get Events'
+description: "List recent events for your organization and project, useful for dashboards, alerting, and audit logging."
openapi: get /v1/events/
---
diff --git a/docs/api-reference/memory/add-memories.mdx b/docs/api-reference/memory/add-memories.mdx
index 681a9f41c..026afe775 100644
--- a/docs/api-reference/memory/add-memories.mdx
+++ b/docs/api-reference/memory/add-memories.mdx
@@ -1,5 +1,6 @@
---
title: 'Add Memories'
+description: "Add facts, messages, or metadata to a user memory store with support for async processing and event tracking."
openapi: post /v1/memories/
---
diff --git a/docs/api-reference/memory/batch-delete.mdx b/docs/api-reference/memory/batch-delete.mdx
index 46050f616..e51821b2f 100644
--- a/docs/api-reference/memory/batch-delete.mdx
+++ b/docs/api-reference/memory/batch-delete.mdx
@@ -1,4 +1,5 @@
---
title: 'Batch Delete Memories'
+description: "Delete multiple memories in a single batch request using the Mem0 API DELETE endpoint."
openapi: delete /v1/batch/
---
diff --git a/docs/api-reference/memory/batch-update.mdx b/docs/api-reference/memory/batch-update.mdx
index b4aae903f..05c816ed3 100644
--- a/docs/api-reference/memory/batch-update.mdx
+++ b/docs/api-reference/memory/batch-update.mdx
@@ -1,4 +1,5 @@
---
title: 'Batch Update Memories'
+description: "Update multiple memories in a single batch request using the Mem0 API PUT endpoint."
openapi: put /v1/batch/
---
\ No newline at end of file
diff --git a/docs/api-reference/memory/create-memory-export.mdx b/docs/api-reference/memory/create-memory-export.mdx
index b849a305e..ca6b5f156 100644
--- a/docs/api-reference/memory/create-memory-export.mdx
+++ b/docs/api-reference/memory/create-memory-export.mdx
@@ -1,5 +1,6 @@
---
title: 'Create Memory Export'
+description: "Submit an export job to create a structured memory export using a customizable Pydantic schema and filters."
openapi: post /v1/exports/
---
diff --git a/docs/api-reference/memory/delete-memories.mdx b/docs/api-reference/memory/delete-memories.mdx
index d4779208a..3a7d92d20 100644
--- a/docs/api-reference/memory/delete-memories.mdx
+++ b/docs/api-reference/memory/delete-memories.mdx
@@ -1,4 +1,5 @@
---
title: 'Delete Memories'
+description: "Delete all memories matching specified filters from the Mem0 memory store using the DELETE endpoint."
openapi: delete /v1/memories/
---
diff --git a/docs/api-reference/memory/delete-memory.mdx b/docs/api-reference/memory/delete-memory.mdx
index 0282ee122..c701cb423 100644
--- a/docs/api-reference/memory/delete-memory.mdx
+++ b/docs/api-reference/memory/delete-memory.mdx
@@ -1,4 +1,5 @@
---
title: 'Delete Memory'
+description: "Delete a single memory by its unique memory ID from the Mem0 platform using the DELETE endpoint."
openapi: delete /v1/memories/{memory_id}/
---
\ No newline at end of file
diff --git a/docs/api-reference/memory/feedback.mdx b/docs/api-reference/memory/feedback.mdx
index d9bb5d627..93611e44f 100644
--- a/docs/api-reference/memory/feedback.mdx
+++ b/docs/api-reference/memory/feedback.mdx
@@ -1,4 +1,5 @@
---
title: 'Feedback'
+description: "Submit positive or negative feedback on memory results to help improve memory accuracy and relevance."
openapi: post /v1/feedback/
---
diff --git a/docs/api-reference/memory/get-memories.mdx b/docs/api-reference/memory/get-memories.mdx
index 21fe6227e..de1035213 100644
--- a/docs/api-reference/memory/get-memories.mdx
+++ b/docs/api-reference/memory/get-memories.mdx
@@ -1,5 +1,6 @@
---
title: "Get Memories"
+description: "Retrieve memories with advanced filtering using logical operators like AND, OR, NOT, and comparison queries."
openapi: post /v2/memories/
---
diff --git a/docs/api-reference/memory/get-memory-export.mdx b/docs/api-reference/memory/get-memory-export.mdx
index bfb1ac755..1f3364edf 100644
--- a/docs/api-reference/memory/get-memory-export.mdx
+++ b/docs/api-reference/memory/get-memory-export.mdx
@@ -1,5 +1,6 @@
---
title: 'Get Memory Export'
+description: "Retrieve the latest structured memory export after submitting an export job, with optional entity filters."
openapi: post /v1/exports/get
---
diff --git a/docs/api-reference/memory/get-memory.mdx b/docs/api-reference/memory/get-memory.mdx
index cab1f9861..4f0febdb1 100644
--- a/docs/api-reference/memory/get-memory.mdx
+++ b/docs/api-reference/memory/get-memory.mdx
@@ -1,4 +1,5 @@
---
title: 'Get Memory'
+description: "Retrieve a single memory by its unique memory ID from the Mem0 platform using the GET endpoint."
openapi: get /v1/memories/{memory_id}/
---
\ No newline at end of file
diff --git a/docs/api-reference/memory/history-memory.mdx b/docs/api-reference/memory/history-memory.mdx
index 0514ea5ec..f5f48f88f 100644
--- a/docs/api-reference/memory/history-memory.mdx
+++ b/docs/api-reference/memory/history-memory.mdx
@@ -1,4 +1,5 @@
---
title: 'Memory History'
+description: "Retrieve the full change history of a specific memory to track how it has evolved over time."
openapi: get /v1/memories/{memory_id}/history/
---
\ No newline at end of file
diff --git a/docs/api-reference/memory/search-memories.mdx b/docs/api-reference/memory/search-memories.mdx
index 6e58c09f3..6fbcb7856 100644
--- a/docs/api-reference/memory/search-memories.mdx
+++ b/docs/api-reference/memory/search-memories.mdx
@@ -1,5 +1,6 @@
---
title: 'Search Memories'
+description: "Search memories with semantic queries and advanced filtering using logical and comparison operators."
openapi: post /v2/memories/search/
---
diff --git a/docs/api-reference/memory/update-memory.mdx b/docs/api-reference/memory/update-memory.mdx
index b6c46615e..23f3138fd 100644
--- a/docs/api-reference/memory/update-memory.mdx
+++ b/docs/api-reference/memory/update-memory.mdx
@@ -1,4 +1,5 @@
---
title: 'Update Memory'
+description: "Update the content or metadata of a single memory by its unique ID using the PUT endpoint."
openapi: put /v1/memories/{memory_id}/
---
\ No newline at end of file
diff --git a/docs/api-reference/organization/add-org-member.mdx b/docs/api-reference/organization/add-org-member.mdx
index 82bda4a15..5576b2c5b 100644
--- a/docs/api-reference/organization/add-org-member.mdx
+++ b/docs/api-reference/organization/add-org-member.mdx
@@ -1,5 +1,6 @@
---
title: 'Add Member'
+description: "Add a new member to an organization with a specified role such as READER or OWNER access level."
openapi: post /api/v1/orgs/organizations/{org_id}/members/
---
diff --git a/docs/api-reference/organization/create-org.mdx b/docs/api-reference/organization/create-org.mdx
index 48f38b4b0..9fca4faf8 100644
--- a/docs/api-reference/organization/create-org.mdx
+++ b/docs/api-reference/organization/create-org.mdx
@@ -1,4 +1,5 @@
---
title: 'Create Organization'
+description: "Create a new organization on the Mem0 platform to manage projects, members, and memory resources."
openapi: post /api/v1/orgs/organizations/
---
\ No newline at end of file
diff --git a/docs/api-reference/organization/delete-org.mdx b/docs/api-reference/organization/delete-org.mdx
index bcc0c3d1d..2602f26dc 100644
--- a/docs/api-reference/organization/delete-org.mdx
+++ b/docs/api-reference/organization/delete-org.mdx
@@ -1,4 +1,5 @@
---
title: 'Delete Organization'
+description: "Permanently delete an organization and its associated resources from the Mem0 platform."
openapi: delete /api/v1/orgs/organizations/{org_id}/
---
\ No newline at end of file
diff --git a/docs/api-reference/organization/get-org-members.mdx b/docs/api-reference/organization/get-org-members.mdx
index 003f09349..1a64cd466 100644
--- a/docs/api-reference/organization/get-org-members.mdx
+++ b/docs/api-reference/organization/get-org-members.mdx
@@ -1,4 +1,5 @@
---
title: 'Get Members'
+description: "Retrieve a list of all members belonging to a specific organization on the Mem0 platform."
openapi: get /api/v1/orgs/organizations/{org_id}/members/
---
\ No newline at end of file
diff --git a/docs/api-reference/organization/get-org.mdx b/docs/api-reference/organization/get-org.mdx
index 232312365..9d192605c 100644
--- a/docs/api-reference/organization/get-org.mdx
+++ b/docs/api-reference/organization/get-org.mdx
@@ -1,4 +1,5 @@
---
title: 'Get Organization'
+description: "Retrieve details of a specific organization by its ID from the Mem0 platform using the GET endpoint."
openapi: get /api/v1/orgs/organizations/{org_id}/
---
\ No newline at end of file
diff --git a/docs/api-reference/organization/get-orgs.mdx b/docs/api-reference/organization/get-orgs.mdx
index ddb6594fe..ee4654c55 100644
--- a/docs/api-reference/organization/get-orgs.mdx
+++ b/docs/api-reference/organization/get-orgs.mdx
@@ -1,4 +1,5 @@
---
title: 'Get Organizations'
+description: "Retrieve a list of all organizations associated with your Mem0 account using the GET endpoint."
openapi: get /api/v1/orgs/organizations/
---
\ No newline at end of file
diff --git a/docs/api-reference/project/add-project-member.mdx b/docs/api-reference/project/add-project-member.mdx
index c0e5c4030..b910a9caf 100644
--- a/docs/api-reference/project/add-project-member.mdx
+++ b/docs/api-reference/project/add-project-member.mdx
@@ -1,5 +1,6 @@
---
title: 'Add Member'
+description: "Add a new member to a project with a specified role such as READER or OWNER access level."
openapi: post /api/v1/orgs/organizations/{org_id}/projects/{project_id}/members/
---
diff --git a/docs/api-reference/project/create-project.mdx b/docs/api-reference/project/create-project.mdx
index 24f18f558..b759f6676 100644
--- a/docs/api-reference/project/create-project.mdx
+++ b/docs/api-reference/project/create-project.mdx
@@ -1,4 +1,5 @@
---
title: 'Create Project'
+description: "Create a new project within an organization on the Mem0 platform to isolate memory resources."
openapi: post /api/v1/orgs/organizations/{org_id}/projects/
---
\ No newline at end of file
diff --git a/docs/api-reference/project/delete-project.mdx b/docs/api-reference/project/delete-project.mdx
index 96fb20da3..7c30a49ac 100644
--- a/docs/api-reference/project/delete-project.mdx
+++ b/docs/api-reference/project/delete-project.mdx
@@ -1,4 +1,5 @@
---
title: 'Delete Project'
+description: "Permanently delete a project and its associated data from the Mem0 platform by project ID."
openapi: delete /api/v1/orgs/organizations/{org_id}/projects/{project_id}/
---
\ No newline at end of file
diff --git a/docs/api-reference/project/get-project-members.mdx b/docs/api-reference/project/get-project-members.mdx
index 42171dce8..b1c1c6b18 100644
--- a/docs/api-reference/project/get-project-members.mdx
+++ b/docs/api-reference/project/get-project-members.mdx
@@ -1,4 +1,5 @@
---
title: 'Get Members'
+description: "Retrieve a list of all members belonging to a specific project on the Mem0 platform."
openapi: get /api/v1/orgs/organizations/{org_id}/projects/{project_id}/members/
---
\ No newline at end of file
diff --git a/docs/api-reference/project/get-project.mdx b/docs/api-reference/project/get-project.mdx
index 219f2a215..8b189b247 100644
--- a/docs/api-reference/project/get-project.mdx
+++ b/docs/api-reference/project/get-project.mdx
@@ -1,4 +1,5 @@
---
title: 'Get Project'
+description: "Retrieve details of a specific project by its organization and project ID using the GET endpoint."
openapi: get /api/v1/orgs/organizations/{org_id}/projects/{project_id}/
---
\ No newline at end of file
diff --git a/docs/api-reference/project/get-projects.mdx b/docs/api-reference/project/get-projects.mdx
index f484adf4b..59569fd21 100644
--- a/docs/api-reference/project/get-projects.mdx
+++ b/docs/api-reference/project/get-projects.mdx
@@ -1,4 +1,5 @@
---
title: 'Get Projects'
+description: "Retrieve a list of all projects within an organization on the Mem0 platform using the GET endpoint."
openapi: get /api/v1/orgs/organizations/{org_id}/projects/
---
\ No newline at end of file
diff --git a/docs/api-reference/webhook/create-webhook.mdx b/docs/api-reference/webhook/create-webhook.mdx
index 4e8cabeac..eddb03be3 100644
--- a/docs/api-reference/webhook/create-webhook.mdx
+++ b/docs/api-reference/webhook/create-webhook.mdx
@@ -1,5 +1,6 @@
---
title: 'Create Webhook'
+description: "Create a new webhook for a project to receive real-time notifications about memory events."
openapi: post /api/v1/webhooks/projects/{project_id}/
---
diff --git a/docs/api-reference/webhook/delete-webhook.mdx b/docs/api-reference/webhook/delete-webhook.mdx
index 501a4b0a7..f19550cc1 100644
--- a/docs/api-reference/webhook/delete-webhook.mdx
+++ b/docs/api-reference/webhook/delete-webhook.mdx
@@ -1,4 +1,5 @@
---
title: 'Delete Webhook'
+description: "Delete an existing webhook by its ID to stop receiving notifications for memory events."
openapi: delete /api/v1/webhooks/{webhook_id}/
---
diff --git a/docs/api-reference/webhook/get-webhook.mdx b/docs/api-reference/webhook/get-webhook.mdx
index c1a12d080..9a7385548 100644
--- a/docs/api-reference/webhook/get-webhook.mdx
+++ b/docs/api-reference/webhook/get-webhook.mdx
@@ -1,5 +1,6 @@
---
title: 'Get Webhook'
+description: "Retrieve webhook configuration details for a specific project on the Mem0 platform."
openapi: get /api/v1/webhooks/projects/{project_id}/
---
diff --git a/docs/api-reference/webhook/update-webhook.mdx b/docs/api-reference/webhook/update-webhook.mdx
index 5e6e29680..cf3f3e1ba 100644
--- a/docs/api-reference/webhook/update-webhook.mdx
+++ b/docs/api-reference/webhook/update-webhook.mdx
@@ -1,5 +1,6 @@
---
title: 'Update Webhook'
+description: "Update an existing webhook configuration, such as its URL or event subscriptions, by webhook ID."
openapi: put /api/v1/webhooks/{webhook_id}/
---
diff --git a/docs/changelog.mdx b/docs/changelog.mdx
index 2b2b7e1f0..997aaf299 100644
--- a/docs/changelog.mdx
+++ b/docs/changelog.mdx
@@ -1,5 +1,6 @@
---
title: "Product Updates"
+description: "Latest releases, bug fixes, and improvements for the Mem0 Python and TypeScript SDKs."
mode: "wide"
---
diff --git a/docs/components/embedders/config.mdx b/docs/components/embedders/config.mdx
index aa8b19b7f..52735b4fb 100644
--- a/docs/components/embedders/config.mdx
+++ b/docs/components/embedders/config.mdx
@@ -1,5 +1,6 @@
---
title: Configurations
+description: "Reference for embedder configuration options in Mem0, including provider selection and model settings."
---
diff --git a/docs/components/embedders/models/aws_bedrock.mdx b/docs/components/embedders/models/aws_bedrock.mdx
index c0b646b9e..e5430e03d 100644
--- a/docs/components/embedders/models/aws_bedrock.mdx
+++ b/docs/components/embedders/models/aws_bedrock.mdx
@@ -1,5 +1,6 @@
---
title: AWS Bedrock
+description: "Configure AWS Bedrock as an embedding provider in Mem0 with IAM credentials and boto3 authentication."
---
To use AWS Bedrock embedding models, you need to have the appropriate AWS credentials and permissions. The embeddings implementation relies on the `boto3` library.
diff --git a/docs/components/embedders/models/azure_openai.mdx b/docs/components/embedders/models/azure_openai.mdx
index f8f647cfc..be77fc3da 100644
--- a/docs/components/embedders/models/azure_openai.mdx
+++ b/docs/components/embedders/models/azure_openai.mdx
@@ -1,5 +1,6 @@
---
title: Azure OpenAI
+description: "Configure Azure OpenAI as an embedding provider in Mem0 with API key, deployment, and endpoint settings."
---
To use Azure OpenAI embedding models, set the `EMBEDDING_AZURE_OPENAI_API_KEY`, `EMBEDDING_AZURE_DEPLOYMENT`, `EMBEDDING_AZURE_ENDPOINT` and `EMBEDDING_AZURE_API_VERSION` environment variables. You can obtain the Azure OpenAI API key from the Azure.
diff --git a/docs/components/embedders/models/google_AI.mdx b/docs/components/embedders/models/google_AI.mdx
index bb27ad482..d0fb07b1c 100644
--- a/docs/components/embedders/models/google_AI.mdx
+++ b/docs/components/embedders/models/google_AI.mdx
@@ -1,5 +1,6 @@
---
title: Google AI
+description: "Configure Google AI as an embedding provider in Mem0 using Gemini models and the GOOGLE_API_KEY variable."
---
To use Google AI embedding models, set the `GOOGLE_API_KEY` environment variables. You can obtain the Gemini API key from [here](https://aistudio.google.com/app/apikey).
diff --git a/docs/components/embedders/models/huggingface.mdx b/docs/components/embedders/models/huggingface.mdx
index 33b71982c..d2f0a5efb 100644
--- a/docs/components/embedders/models/huggingface.mdx
+++ b/docs/components/embedders/models/huggingface.mdx
@@ -1,5 +1,6 @@
---
title: Hugging Face
+description: "Configure Hugging Face as an embedding provider in Mem0 for local embedding generation with open-source models."
---
You can use embedding models from Huggingface to run Mem0 locally.
diff --git a/docs/components/embedders/models/langchain.mdx b/docs/components/embedders/models/langchain.mdx
index 35d68cecd..46a8710b9 100644
--- a/docs/components/embedders/models/langchain.mdx
+++ b/docs/components/embedders/models/langchain.mdx
@@ -1,5 +1,6 @@
---
title: LangChain
+description: "Use LangChain as an embedding provider in Mem0 to access a wide range of models through a unified interface."
---
Mem0 supports LangChain as a provider to access a wide range of embedding models. LangChain is a framework for developing applications powered by language models, making it easy to integrate various embedding providers through a consistent interface.
diff --git a/docs/components/embedders/models/lmstudio.mdx b/docs/components/embedders/models/lmstudio.mdx
index c54fff71c..4b8d2212c 100644
--- a/docs/components/embedders/models/lmstudio.mdx
+++ b/docs/components/embedders/models/lmstudio.mdx
@@ -1,3 +1,7 @@
+---
+title: "LM Studio"
+description: "Configure LM Studio as an embedding provider in Mem0 for local embedding generation with models like nomic-embed-text."
+---
You can use embedding models from LM Studio to run Mem0 locally.
### Usage
diff --git a/docs/components/embedders/models/ollama.mdx b/docs/components/embedders/models/ollama.mdx
index fc763f179..2270379af 100644
--- a/docs/components/embedders/models/ollama.mdx
+++ b/docs/components/embedders/models/ollama.mdx
@@ -1,3 +1,7 @@
+---
+title: "Ollama"
+description: "Configure Ollama as an embedding provider in Mem0 to generate embeddings locally using open-source models."
+---
You can use embedding models from Ollama to run Mem0 locally.
### Usage
diff --git a/docs/components/embedders/models/openai.mdx b/docs/components/embedders/models/openai.mdx
index 62858a1a1..50b298c8f 100644
--- a/docs/components/embedders/models/openai.mdx
+++ b/docs/components/embedders/models/openai.mdx
@@ -1,5 +1,6 @@
---
title: OpenAI
+description: "Configure OpenAI as an embedding provider in Mem0 using models like text-embedding-3-large for vector generation."
---
To use OpenAI embedding models, set the `OPENAI_API_KEY` environment variable. You can obtain the OpenAI API key from the [OpenAI Platform](https://platform.openai.com/account/api-keys).
diff --git a/docs/components/embedders/models/together.mdx b/docs/components/embedders/models/together.mdx
index 067f28375..5727d5f1d 100644
--- a/docs/components/embedders/models/together.mdx
+++ b/docs/components/embedders/models/together.mdx
@@ -1,5 +1,6 @@
---
title: Together
+description: "Configure Together AI as an embedding provider in Mem0 with support for 768-dimensional embedding models."
---
To use Together embedding models, set the `TOGETHER_API_KEY` environment variable. You can obtain the Together API key from the [Together Platform](https://api.together.xyz/settings/api-keys).
diff --git a/docs/components/embedders/models/vertexai.mdx b/docs/components/embedders/models/vertexai.mdx
index 78ff115d6..311ad65a7 100644
--- a/docs/components/embedders/models/vertexai.mdx
+++ b/docs/components/embedders/models/vertexai.mdx
@@ -1,3 +1,7 @@
+---
+title: "Vertex AI"
+description: "Configure Google Cloud Vertex AI as an embedding provider in Mem0 with support for task-specific embedding types."
+---
### Vertex AI
To use Google Cloud's Vertex AI for text embedding models, set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable to point to the path of your service account's credentials JSON file. These credentials can be created in the [Google Cloud Console](https://console.cloud.google.com/).
diff --git a/docs/components/embedders/overview.mdx b/docs/components/embedders/overview.mdx
index ac91c02a6..45f23d8a5 100644
--- a/docs/components/embedders/overview.mdx
+++ b/docs/components/embedders/overview.mdx
@@ -1,5 +1,6 @@
---
title: Overview
+description: "Overview of all supported embedding model providers in Mem0, including OpenAI, Azure, Ollama, and more."
---
Mem0 offers support for various embedding models, allowing users to choose the one that best suits their needs.
diff --git a/docs/components/llms/config.mdx b/docs/components/llms/config.mdx
index 8d443912c..1be19b78a 100644
--- a/docs/components/llms/config.mdx
+++ b/docs/components/llms/config.mdx
@@ -1,5 +1,6 @@
---
title: Configurations
+description: "Reference for LLM configuration options in Mem0 for Python and TypeScript, including value precedence rules."
---
## How to define configurations?
diff --git a/docs/components/llms/models/anthropic.mdx b/docs/components/llms/models/anthropic.mdx
index a1cc2ab14..488a06e4a 100644
--- a/docs/components/llms/models/anthropic.mdx
+++ b/docs/components/llms/models/anthropic.mdx
@@ -1,5 +1,6 @@
---
title: Anthropic
+description: "Configure Anthropic Claude models as the LLM provider in Mem0 with API key setup and usage examples."
---
diff --git a/docs/components/llms/models/aws_bedrock.mdx b/docs/components/llms/models/aws_bedrock.mdx
index 4bbcd3524..76b0efedd 100644
--- a/docs/components/llms/models/aws_bedrock.mdx
+++ b/docs/components/llms/models/aws_bedrock.mdx
@@ -1,5 +1,6 @@
---
title: AWS Bedrock
+description: "Configure AWS Bedrock as an LLM provider in Mem0 with IAM authentication and Claude model support."
---
### Setup
diff --git a/docs/components/llms/models/azure_openai.mdx b/docs/components/llms/models/azure_openai.mdx
index e32e6caf5..3cfe952f2 100644
--- a/docs/components/llms/models/azure_openai.mdx
+++ b/docs/components/llms/models/azure_openai.mdx
@@ -1,5 +1,6 @@
---
title: Azure OpenAI
+description: "Configure Azure OpenAI as an LLM provider in Mem0 with Azure Identity authentication and deployment settings."
---
Mem0 Now Supports Azure OpenAI Models in TypeScript SDK
diff --git a/docs/components/llms/models/deepseek.mdx b/docs/components/llms/models/deepseek.mdx
index 07edbbdb1..5c65bbc6b 100644
--- a/docs/components/llms/models/deepseek.mdx
+++ b/docs/components/llms/models/deepseek.mdx
@@ -1,5 +1,6 @@
---
title: DeepSeek
+description: "Configure DeepSeek as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration."
---
To use DeepSeek LLM models, you have to set the `DEEPSEEK_API_KEY` environment variable. You can also optionally set `DEEPSEEK_API_BASE` if you need to use a different API endpoint (defaults to "https://api.deepseek.com").
diff --git a/docs/components/llms/models/google_AI.mdx b/docs/components/llms/models/google_AI.mdx
index aad05d022..1bb3f645e 100644
--- a/docs/components/llms/models/google_AI.mdx
+++ b/docs/components/llms/models/google_AI.mdx
@@ -1,5 +1,6 @@
---
title: Google AI
+description: "Configure Google Gemini as an LLM provider in Mem0 using the google.genai SDK and GOOGLE_API_KEY variable."
---
To use the Gemini model, set the `GOOGLE_API_KEY` environment variable. You can obtain the Google/Gemini API key from [Google AI Studio](https://aistudio.google.com/app/apikey).
diff --git a/docs/components/llms/models/groq.mdx b/docs/components/llms/models/groq.mdx
index c0fc0b80e..d6a82743e 100644
--- a/docs/components/llms/models/groq.mdx
+++ b/docs/components/llms/models/groq.mdx
@@ -1,5 +1,6 @@
---
title: Groq
+description: "Configure Groq as an LLM provider in Mem0 for high-speed inference using LPU-powered language models."
---
[Groq](https://groq.com/) is the creator of the world's first Language Processing Unit (LPU), providing exceptional speed performance for AI workloads running on their LPU Inference Engine.
diff --git a/docs/components/llms/models/langchain.mdx b/docs/components/llms/models/langchain.mdx
index a440f61a3..cff649067 100644
--- a/docs/components/llms/models/langchain.mdx
+++ b/docs/components/llms/models/langchain.mdx
@@ -1,5 +1,6 @@
---
title: LangChain
+description: "Use LangChain as an LLM provider in Mem0 to integrate with various chat models through a unified interface."
---
diff --git a/docs/components/llms/models/litellm.mdx b/docs/components/llms/models/litellm.mdx
index f2a041c68..865c049e5 100644
--- a/docs/components/llms/models/litellm.mdx
+++ b/docs/components/llms/models/litellm.mdx
@@ -1,3 +1,7 @@
+---
+title: "LiteLLM"
+description: "Use LiteLLM as an LLM provider in Mem0 to access over 100 language models through a unified interface."
+---
[Litellm](https://litellm.vercel.app/docs/) is compatible with over 100 large language models (LLMs), all using a standardized input/output format. You can explore the [available models](https://litellm.vercel.app/docs/providers) to use with Litellm. Ensure you set the `API_KEY` for the model you choose to use.
## Usage
diff --git a/docs/components/llms/models/lmstudio.mdx b/docs/components/llms/models/lmstudio.mdx
index 318487c15..d496b141b 100644
--- a/docs/components/llms/models/lmstudio.mdx
+++ b/docs/components/llms/models/lmstudio.mdx
@@ -1,5 +1,6 @@
---
title: LM Studio
+description: "Configure LM Studio as an LLM provider in Mem0 for running local language models via an OpenAI-compatible API."
---
To use LM Studio with Mem0, you'll need to have LM Studio running locally with its server enabled. LM Studio provides a way to run local LLMs with an OpenAI-compatible API.
diff --git a/docs/components/llms/models/mistral_AI.mdx b/docs/components/llms/models/mistral_AI.mdx
index 2a5234195..a1ed1cced 100644
--- a/docs/components/llms/models/mistral_AI.mdx
+++ b/docs/components/llms/models/mistral_AI.mdx
@@ -1,5 +1,6 @@
---
title: Mistral AI
+description: "Configure Mistral AI as an LLM provider in Mem0 using the litellm integration and Mixtral model family."
---
To use mistral's models, please obtain the Mistral AI api key from their [console](https://console.mistral.ai/). Set the `MISTRAL_API_KEY` environment variable to use the model as given below in the example.
diff --git a/docs/components/llms/models/ollama.mdx b/docs/components/llms/models/ollama.mdx
index d405069df..a1ef1f862 100644
--- a/docs/components/llms/models/ollama.mdx
+++ b/docs/components/llms/models/ollama.mdx
@@ -1,5 +1,6 @@
---
title: Ollama
+description: "Configure Ollama as an LLM provider in Mem0 for running local language models with tool-calling support."
---
You can use LLMs from Ollama to run Mem0 locally. These [models](https://ollama.com/search?c=tools) support tool calling.
diff --git a/docs/components/llms/models/openai.mdx b/docs/components/llms/models/openai.mdx
index 4a2468d6d..dab7c5a70 100644
--- a/docs/components/llms/models/openai.mdx
+++ b/docs/components/llms/models/openai.mdx
@@ -1,5 +1,6 @@
---
title: OpenAI
+description: "Configure OpenAI as an LLM provider in Mem0 with support for GPT models and Openrouter compatibility."
---
To use OpenAI LLM models, you have to set the `OPENAI_API_KEY` environment variable. You can obtain the OpenAI API key from the [OpenAI Platform](https://platform.openai.com/account/api-keys).
diff --git a/docs/components/llms/models/sarvam.mdx b/docs/components/llms/models/sarvam.mdx
index 8cdedcd71..1eedee8ea 100644
--- a/docs/components/llms/models/sarvam.mdx
+++ b/docs/components/llms/models/sarvam.mdx
@@ -1,5 +1,6 @@
---
title: Sarvam AI
+description: "Configure Sarvam AI as an LLM provider in Mem0, specializing in Indian language support with the Sarvam-M model."
---
**Sarvam AI** is an Indian AI company developing language models with a focus on Indian languages and cultural context. Their latest model **Sarvam-M** is designed to understand and generate content in multiple Indian languages while maintaining high performance in English.
diff --git a/docs/components/llms/models/together.mdx b/docs/components/llms/models/together.mdx
index 4e2d5ba15..0584349e6 100644
--- a/docs/components/llms/models/together.mdx
+++ b/docs/components/llms/models/together.mdx
@@ -1,5 +1,6 @@
---
title: Together
+description: "Configure Together AI as an LLM provider in Mem0 with API key setup and Mixtral model configuration."
---
To use Together LLM models, you have to set the `TOGETHER_API_KEY` environment variable. You can obtain the Together API key from their [Account settings page](https://api.together.xyz/settings/api-keys).
diff --git a/docs/components/llms/models/vllm.mdx b/docs/components/llms/models/vllm.mdx
index 1b60c1ab9..1a31fad8c 100644
--- a/docs/components/llms/models/vllm.mdx
+++ b/docs/components/llms/models/vllm.mdx
@@ -1,5 +1,6 @@
---
title: vLLM
+description: "Configure vLLM as an LLM provider in Mem0 for high-performance local inference with GPU-optimized serving."
---
[vLLM](https://docs.vllm.ai/) is a high-performance inference engine for large language models that provides significant performance improvements for local inference. It's designed to maximize throughput and memory efficiency for serving LLMs.
diff --git a/docs/components/llms/models/xAI.mdx b/docs/components/llms/models/xAI.mdx
index 9f6e66951..fb6d930fa 100644
--- a/docs/components/llms/models/xAI.mdx
+++ b/docs/components/llms/models/xAI.mdx
@@ -1,5 +1,6 @@
---
title: xAI
+description: "Configure xAI Grok models as an LLM provider in Mem0 with API key setup and usage examples."
---
[xAI](https://x.ai/) is a new AI company founded by Elon Musk that develops large language models, including Grok. Grok is trained on real-time data from X (formerly Twitter) and aims to provide accurate, up-to-date responses with a touch of wit and humor.
diff --git a/docs/components/llms/overview.mdx b/docs/components/llms/overview.mdx
index 7d6caf519..230f9f90b 100644
--- a/docs/components/llms/overview.mdx
+++ b/docs/components/llms/overview.mdx
@@ -1,5 +1,6 @@
---
title: Overview
+description: "Overview of all supported LLM providers in Mem0, including OpenAI, Anthropic, Groq, Ollama, and more."
---
Mem0 includes built-in support for various popular large language models. Memory can utilize the LLM provided by the user, ensuring efficient use for specific needs.
diff --git a/docs/components/rerankers/config.mdx b/docs/components/rerankers/config.mdx
index 87bd905d7..76362bde0 100644
--- a/docs/components/rerankers/config.mdx
+++ b/docs/components/rerankers/config.mdx
@@ -1,6 +1,6 @@
---
title: Config
-description: "Configuration options for rerankers in Mem0"
+description: "Reference for shared and provider-specific reranker configuration options in Mem0, including top_k and API key settings."
---
## Common Configuration Parameters
diff --git a/docs/components/rerankers/custom-prompts.mdx b/docs/components/rerankers/custom-prompts.mdx
index c7eff07c0..5ca736064 100644
--- a/docs/components/rerankers/custom-prompts.mdx
+++ b/docs/components/rerankers/custom-prompts.mdx
@@ -1,5 +1,6 @@
---
title: Custom Prompts
+description: "Customize the LLM reranker prompt template in Mem0 to control how search results are ranked and scored."
---
When using LLM rerankers, you can customize the prompts used for ranking to better suit your specific use case and domain.
diff --git a/docs/components/rerankers/models/cohere.mdx b/docs/components/rerankers/models/cohere.mdx
index d26b1c6dc..1b4b23f81 100644
--- a/docs/components/rerankers/models/cohere.mdx
+++ b/docs/components/rerankers/models/cohere.mdx
@@ -1,6 +1,6 @@
---
title: Cohere
-description: "Reranking with Cohere"
+description: "Configure Cohere as a reranker in Mem0 with support for English and multilingual reranking models."
---
Cohere provides enterprise-grade reranking models with excellent multilingual support and production-ready performance.
diff --git a/docs/components/rerankers/models/llm.mdx b/docs/components/rerankers/models/llm.mdx
index ba61fe70d..dd6da0014 100644
--- a/docs/components/rerankers/models/llm.mdx
+++ b/docs/components/rerankers/models/llm.mdx
@@ -1,6 +1,6 @@
---
title: LLM as Reranker
-description: 'Flexible reranking using LLMs'
+description: "Use any LLM as a flexible reranker in Mem0 with custom prompts and domain-specific scoring logic."
---
diff --git a/docs/components/rerankers/models/zero_entropy.mdx b/docs/components/rerankers/models/zero_entropy.mdx
index 862c50328..160f360e1 100644
--- a/docs/components/rerankers/models/zero_entropy.mdx
+++ b/docs/components/rerankers/models/zero_entropy.mdx
@@ -1,6 +1,6 @@
---
title: Zero Entropy
-description: 'Neural reranking with Zero Entropy'
+description: "Configure Zero Entropy neural reranking models in Mem0 with zerank-1 and zerank-1-small support."
---
[Zero Entropy](https://www.zeroentropy.dev) provides neural reranking models that significantly improve search relevance with fast performance.
diff --git a/docs/components/rerankers/optimization.mdx b/docs/components/rerankers/optimization.mdx
index 72c39f7fa..456194190 100644
--- a/docs/components/rerankers/optimization.mdx
+++ b/docs/components/rerankers/optimization.mdx
@@ -1,5 +1,6 @@
---
title: Performance Optimization
+description: "Best practices for optimizing reranker performance in Mem0, covering candidate sizing, batching, and tuning."
---
Optimizing reranker performance is crucial for maintaining fast search response times while improving result quality. This guide covers best practices for different reranker types.
diff --git a/docs/components/vectordbs/config.mdx b/docs/components/vectordbs/config.mdx
index 94280dac7..28676d177 100644
--- a/docs/components/vectordbs/config.mdx
+++ b/docs/components/vectordbs/config.mdx
@@ -1,5 +1,6 @@
---
title: Configurations
+description: "Reference for vector database configuration options in Mem0, including provider selection and connection settings."
---
## How to define configurations?
diff --git a/docs/components/vectordbs/dbs/azure.mdx b/docs/components/vectordbs/dbs/azure.mdx
index c0990f3e3..33dbd3323 100644
--- a/docs/components/vectordbs/dbs/azure.mdx
+++ b/docs/components/vectordbs/dbs/azure.mdx
@@ -1,5 +1,6 @@
---
title: Azure AI Search
+description: "Use Azure AI Search as a vector store in Mem0 for managed vector search with service name and API key setup."
---
[Azure AI Search](https://learn.microsoft.com/azure/search/search-what-is-azure-search/) (formerly known as "Azure Cognitive Search") provides secure information retrieval at scale over user-owned content in traditional and generative AI search applications.
diff --git a/docs/components/vectordbs/dbs/azure_mysql.mdx b/docs/components/vectordbs/dbs/azure_mysql.mdx
index bfcca4892..f03927c27 100644
--- a/docs/components/vectordbs/dbs/azure_mysql.mdx
+++ b/docs/components/vectordbs/dbs/azure_mysql.mdx
@@ -1,5 +1,6 @@
---
title: Azure MySQL
+description: "Use Azure Database for MySQL as a vector store in Mem0 with JSON-based vector storage for semantic search."
---
[Azure Database for MySQL](https://azure.microsoft.com/products/mysql) is a fully managed relational database service that provides enterprise-grade reliability and security. It supports JSON-based vector storage for semantic search capabilities in AI applications.
diff --git a/docs/components/vectordbs/dbs/baidu.mdx b/docs/components/vectordbs/dbs/baidu.mdx
index 352e95519..0a738fd6e 100644
--- a/docs/components/vectordbs/dbs/baidu.mdx
+++ b/docs/components/vectordbs/dbs/baidu.mdx
@@ -1,5 +1,6 @@
---
title: Baidu VectorDB (Mochow)
+description: "Use Baidu Mochow as an enterprise vector database in Mem0 for high-performance vector storage and retrieval."
---
[Baidu VectorDB](https://cloud.baidu.com/doc/VDB/index.html) is an enterprise-level distributed vector database service developed by Baidu Intelligent Cloud. It is powered by Baidu's proprietary "Mochow" vector database kernel, providing high performance, availability, and security for vector search.
diff --git a/docs/components/vectordbs/dbs/cassandra.mdx b/docs/components/vectordbs/dbs/cassandra.mdx
index 658ff239d..02613f61a 100644
--- a/docs/components/vectordbs/dbs/cassandra.mdx
+++ b/docs/components/vectordbs/dbs/cassandra.mdx
@@ -1,5 +1,6 @@
---
title: Apache Cassandra
+description: "Use Apache Cassandra as a distributed vector store in Mem0 with semantic search over large-scale datasets."
---
[Apache Cassandra](https://cassandra.apache.org/) is a highly scalable, distributed NoSQL database designed for handling large amounts of data across many commodity servers with no single point of failure. It supports vector storage for semantic search capabilities in AI applications and can scale to massive datasets with linear performance improvements.
diff --git a/docs/components/vectordbs/dbs/chroma.mdx b/docs/components/vectordbs/dbs/chroma.mdx
index d50e4061f..ef6c4c2ca 100644
--- a/docs/components/vectordbs/dbs/chroma.mdx
+++ b/docs/components/vectordbs/dbs/chroma.mdx
@@ -1,3 +1,7 @@
+---
+title: "Chroma"
+description: "Use Chroma as a vector database in Mem0 for local or cloud-hosted vector storage with built-in embedding support."
+---
[Chroma](https://www.trychroma.com/) is an AI-native open-source vector database that simplifies building LLM apps by providing tools for storing, embedding, and searching embeddings with a focus on simplicity and speed. It supports both local deployment and cloud hosting through ChromaDB Cloud.
### Usage
diff --git a/docs/components/vectordbs/dbs/databricks.mdx b/docs/components/vectordbs/dbs/databricks.mdx
index add8ee517..032e5f511 100644
--- a/docs/components/vectordbs/dbs/databricks.mdx
+++ b/docs/components/vectordbs/dbs/databricks.mdx
@@ -1,3 +1,7 @@
+---
+title: "Databricks"
+description: "Use Databricks Vector Search as a serverless vector store in Mem0 with auto-updating indexes from Delta tables."
+---
[Databricks Vector Search](https://docs.databricks.com/en/generative-ai/vector-search.html) is a serverless similarity search engine that allows you to store a vector representation of your data, including metadata, in a vector database. With Vector Search, you can create auto-updating vector search indexes from Delta tables managed by Unity Catalog and query them with a simple API to return the most similar vectors.
### Usage
diff --git a/docs/components/vectordbs/dbs/elasticsearch.mdx b/docs/components/vectordbs/dbs/elasticsearch.mdx
index a07842869..d6d4dec1c 100644
--- a/docs/components/vectordbs/dbs/elasticsearch.mdx
+++ b/docs/components/vectordbs/dbs/elasticsearch.mdx
@@ -1,3 +1,7 @@
+---
+title: "Elasticsearch"
+description: "Use Elasticsearch as a vector database in Mem0 for distributed vector search using dense vectors and k-NN queries."
+---
[Elasticsearch](https://www.elastic.co/) is a distributed, RESTful search and analytics engine that can efficiently store and search vector data using dense vectors and k-NN search.
### Installation
diff --git a/docs/components/vectordbs/dbs/faiss.mdx b/docs/components/vectordbs/dbs/faiss.mdx
index 4b1d039ed..cf98a5e66 100644
--- a/docs/components/vectordbs/dbs/faiss.mdx
+++ b/docs/components/vectordbs/dbs/faiss.mdx
@@ -1,3 +1,7 @@
+---
+title: "FAISS"
+description: "Use Facebook FAISS as a high-performance vector store in Mem0, optimized for memory usage and fast similarity search."
+---
[FAISS](https://github.com/facebookresearch/faiss) is a library for efficient similarity search and clustering of dense vectors. It is designed to work with large-scale datasets and provides a high-performance search engine for vector data. FAISS is optimized for memory usage and search speed, making it an excellent choice for production environments.
### Usage
diff --git a/docs/components/vectordbs/dbs/langchain.mdx b/docs/components/vectordbs/dbs/langchain.mdx
index 71c22a483..a6f5a0e60 100644
--- a/docs/components/vectordbs/dbs/langchain.mdx
+++ b/docs/components/vectordbs/dbs/langchain.mdx
@@ -1,5 +1,6 @@
---
title: LangChain
+description: "Use LangChain as a unified vector store provider in Mem0 to access multiple vector databases through one interface."
---
Mem0 supports LangChain as a provider for vector store integration. LangChain provides a unified interface to various vector databases, making it easy to integrate different vector store providers through a consistent API.
diff --git a/docs/components/vectordbs/dbs/milvus.mdx b/docs/components/vectordbs/dbs/milvus.mdx
index d888629ba..796095f65 100644
--- a/docs/components/vectordbs/dbs/milvus.mdx
+++ b/docs/components/vectordbs/dbs/milvus.mdx
@@ -1,3 +1,7 @@
+---
+title: "Milvus"
+description: "Use Milvus as an open-source vector database in Mem0, scalable from local development to production workloads."
+---
[Milvus](https://milvus.io/) is an open-source vector database that suits AI applications of every size, from running a demo chatbot in a Jupyter notebook to building web-scale search that serves billions of users.
### Usage
diff --git a/docs/components/vectordbs/dbs/mongodb.mdx b/docs/components/vectordbs/dbs/mongodb.mdx
index dbb419343..f110609c1 100644
--- a/docs/components/vectordbs/dbs/mongodb.mdx
+++ b/docs/components/vectordbs/dbs/mongodb.mdx
@@ -1,3 +1,7 @@
+---
+title: "MongoDB"
+description: "Use MongoDB as a vector database in Mem0 with built-in vector search for high-dimensional similarity queries."
+---
# MongoDB
[MongoDB](https://www.mongodb.com/) is a versatile document database that supports vector search capabilities, allowing for efficient high-dimensional similarity searches over large datasets with robust scalability and performance.
diff --git a/docs/components/vectordbs/dbs/neptune_analytics.mdx b/docs/components/vectordbs/dbs/neptune_analytics.mdx
index f8396cf44..ae3cb814a 100644
--- a/docs/components/vectordbs/dbs/neptune_analytics.mdx
+++ b/docs/components/vectordbs/dbs/neptune_analytics.mdx
@@ -1,3 +1,7 @@
+---
+title: "Neptune Analytics"
+description: "Use AWS Neptune Analytics as a vector store in Mem0, combining graph analytics with vector search capabilities."
+---
# Neptune Analytics Vector Store
[Neptune Analytics](https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html/) is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds, including vector search.
diff --git a/docs/components/vectordbs/dbs/opensearch.mdx b/docs/components/vectordbs/dbs/opensearch.mdx
index 8004a7615..409719f45 100644
--- a/docs/components/vectordbs/dbs/opensearch.mdx
+++ b/docs/components/vectordbs/dbs/opensearch.mdx
@@ -1,3 +1,7 @@
+---
+title: "OpenSearch"
+description: "Use OpenSearch as a vector database in Mem0 with k-NN search support via AWS OpenSearch Service serverless collections."
+---
[OpenSearch](https://opensearch.org/) is an enterprise-grade search and observability suite that brings order to unstructured data at scale. OpenSearch supports k-NN (k-Nearest Neighbors) and allows you to store and retrieve high-dimensional vector embeddings efficiently.
### Installation
diff --git a/docs/components/vectordbs/dbs/pgvector.mdx b/docs/components/vectordbs/dbs/pgvector.mdx
index 057f08c45..df6315c69 100644
--- a/docs/components/vectordbs/dbs/pgvector.mdx
+++ b/docs/components/vectordbs/dbs/pgvector.mdx
@@ -1,3 +1,7 @@
+---
+title: "pgvector"
+description: "Use pgvector as a vector store in Mem0 for PostgreSQL-based vector similarity search with open-source simplicity."
+---
[pgvector](https://github.com/pgvector/pgvector) is an open-source vector similarity search extension for Postgres. After connecting to Postgres, run `CREATE EXTENSION IF NOT EXISTS vector;` to create the vector extension.
### Usage
diff --git a/docs/components/vectordbs/dbs/pinecone.mdx b/docs/components/vectordbs/dbs/pinecone.mdx
index 274149a5e..7911225fc 100644
--- a/docs/components/vectordbs/dbs/pinecone.mdx
+++ b/docs/components/vectordbs/dbs/pinecone.mdx
@@ -1,3 +1,7 @@
+---
+title: "Pinecone"
+description: "Use Pinecone as a fully managed vector database in Mem0 with serverless deployment and namespace-based multi-tenancy."
+---
[Pinecone](https://www.pinecone.io/) is a fully managed vector database designed for machine learning applications, offering high performance vector search with low latency at scale. It's particularly well-suited for semantic search, recommendation systems, and other AI-powered applications.
> **New**: Pinecone integration now supports custom namespaces! Use the `namespace` parameter to logically separate data within the same index. This is especially useful for multi-tenant or multi-user applications.
diff --git a/docs/components/vectordbs/dbs/qdrant.mdx b/docs/components/vectordbs/dbs/qdrant.mdx
index 01fe7601f..8f6d00ac9 100644
--- a/docs/components/vectordbs/dbs/qdrant.mdx
+++ b/docs/components/vectordbs/dbs/qdrant.mdx
@@ -1,3 +1,7 @@
+---
+title: "Qdrant"
+description: "Use Qdrant as an open-source vector search engine in Mem0 for high-performance similarity search at scale."
+---
[Qdrant](https://qdrant.tech/) is an open-source vector search engine. It is designed to work with large-scale datasets and provides a high-performance search engine for vector data.
### Usage
diff --git a/docs/components/vectordbs/dbs/redis.mdx b/docs/components/vectordbs/dbs/redis.mdx
index eb19aa42d..f50d6f0b5 100644
--- a/docs/components/vectordbs/dbs/redis.mdx
+++ b/docs/components/vectordbs/dbs/redis.mdx
@@ -1,3 +1,7 @@
+---
+title: "Redis"
+description: "Use Redis as a real-time vector database in Mem0 for fast vector search using Redis Stack and redisvl."
+---
[Redis](https://redis.io/) is a scalable, real-time database that can store, search, and analyze vector data.
### Installation
diff --git a/docs/components/vectordbs/dbs/s3_vectors.mdx b/docs/components/vectordbs/dbs/s3_vectors.mdx
index 5998bf522..3bf37e9dd 100644
--- a/docs/components/vectordbs/dbs/s3_vectors.mdx
+++ b/docs/components/vectordbs/dbs/s3_vectors.mdx
@@ -1,5 +1,6 @@
---
title: Amazon S3 Vectors
+description: "Use Amazon S3 Vectors as a cost-optimized vector storage service in Mem0 with AWS credential authentication."
---
[Amazon S3 Vectors](https://aws.amazon.com/s3/features/vectors/) is a purpose-built, cost-optimized vector storage and query service for semantic search and AI applications. It provides S3-level elasticity and durability with sub-second query performance.
diff --git a/docs/components/vectordbs/dbs/supabase.mdx b/docs/components/vectordbs/dbs/supabase.mdx
index 9741569bf..8f214f9c8 100644
--- a/docs/components/vectordbs/dbs/supabase.mdx
+++ b/docs/components/vectordbs/dbs/supabase.mdx
@@ -1,3 +1,7 @@
+---
+title: "Supabase"
+description: "Use Supabase as a vector store in Mem0, powered by PostgreSQL and pgvector with HNSW indexing support."
+---
[Supabase](https://supabase.com/) is an open-source Firebase alternative that provides a PostgreSQL database with pgvector extension for vector similarity search. It offers a powerful and scalable solution for storing and querying vector embeddings.
Create a [Supabase](https://supabase.com/dashboard/projects) account and project, then get your connection string from Project Settings > Database. See the [docs](https://supabase.github.io/vecs/hosting/) for details.
diff --git a/docs/components/vectordbs/dbs/upstash-vector.mdx b/docs/components/vectordbs/dbs/upstash-vector.mdx
index c4536d906..979242fef 100644
--- a/docs/components/vectordbs/dbs/upstash-vector.mdx
+++ b/docs/components/vectordbs/dbs/upstash-vector.mdx
@@ -1,3 +1,7 @@
+---
+title: "Upstash Vector"
+description: "Use Upstash Vector as a serverless vector database in Mem0 with optional built-in embedding models."
+---
[Upstash Vector](https://upstash.com/docs/vector) is a serverless vector database with built-in embedding models.
### Usage with Upstash embeddings
diff --git a/docs/components/vectordbs/dbs/valkey.mdx b/docs/components/vectordbs/dbs/valkey.mdx
index aa686cd0f..8cd63df8a 100644
--- a/docs/components/vectordbs/dbs/valkey.mdx
+++ b/docs/components/vectordbs/dbs/valkey.mdx
@@ -1,3 +1,7 @@
+---
+title: "Valkey"
+description: "Use Valkey as an open-source vector store in Mem0 for high-performance key-value storage with vector search."
+---
# Valkey Vector Store
[Valkey](https://valkey.io/) is an open source (BSD) high-performance key/value datastore that supports a variety of workloads and rich datastructures including vector search.
diff --git a/docs/components/vectordbs/dbs/vectorize.mdx b/docs/components/vectordbs/dbs/vectorize.mdx
index baf1294bf..e356970d6 100644
--- a/docs/components/vectordbs/dbs/vectorize.mdx
+++ b/docs/components/vectordbs/dbs/vectorize.mdx
@@ -1,3 +1,7 @@
+---
+title: "Cloudflare Vectorize"
+description: "Use Cloudflare Vectorize as a vector database in Mem0 for building AI-powered applications at the edge."
+---
[Cloudflare Vectorize](https://developers.cloudflare.com/vectorize/) is a vector database offering from Cloudflare, allowing you to build AI-powered applications with vector embeddings.
### Usage
diff --git a/docs/components/vectordbs/dbs/vertex_ai.mdx b/docs/components/vectordbs/dbs/vertex_ai.mdx
index 637b4d98f..e3a326eeb 100644
--- a/docs/components/vectordbs/dbs/vertex_ai.mdx
+++ b/docs/components/vectordbs/dbs/vertex_ai.mdx
@@ -1,5 +1,6 @@
---
title: Vertex AI Vector Search
+description: "Use Google Cloud Vertex AI Vector Search as a managed vector store in Mem0 with endpoint and index configuration."
---
diff --git a/docs/components/vectordbs/dbs/weaviate.mdx b/docs/components/vectordbs/dbs/weaviate.mdx
index 632e03cd3..b08629d92 100644
--- a/docs/components/vectordbs/dbs/weaviate.mdx
+++ b/docs/components/vectordbs/dbs/weaviate.mdx
@@ -1,3 +1,7 @@
+---
+title: "Weaviate"
+description: "Use Weaviate as an open-source vector search engine in Mem0 for storing and retrieving vector embeddings."
+---
[Weaviate](https://weaviate.io/) is an open-source vector search engine. It allows efficient storage and retrieval of high-dimensional vector embeddings, enabling powerful search and retrieval capabilities.
diff --git a/docs/components/vectordbs/overview.mdx b/docs/components/vectordbs/overview.mdx
index f26b85702..f7d3a9e8a 100644
--- a/docs/components/vectordbs/overview.mdx
+++ b/docs/components/vectordbs/overview.mdx
@@ -1,5 +1,6 @@
---
title: Overview
+description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, and more."
---
Mem0 includes built-in support for various popular databases. Memory can utilize the database provided by the user, ensuring efficient use for specific needs.
diff --git a/docs/contributing/development.mdx b/docs/contributing/development.mdx
index ae043bd77..b8565739d 100644
--- a/docs/contributing/development.mdx
+++ b/docs/contributing/development.mdx
@@ -1,5 +1,6 @@
---
title: Development
+description: "Guide to contributing code to Mem0, covering the fork and clone workflow, PR submission, and code quality checks."
icon: "code"
---
diff --git a/docs/contributing/documentation.mdx b/docs/contributing/documentation.mdx
index f31b047d3..ad7c6beb5 100644
--- a/docs/contributing/documentation.mdx
+++ b/docs/contributing/documentation.mdx
@@ -1,5 +1,6 @@
---
title: Documentation
+description: "Guide to contributing documentation to Mem0, including Mintlify setup, prerequisites, and local preview steps."
icon: "book"
---
diff --git a/docs/cookbooks/overview.mdx b/docs/cookbooks/overview.mdx
index 2f52a8305..7b64b9cc3 100644
--- a/docs/cookbooks/overview.mdx
+++ b/docs/cookbooks/overview.mdx
@@ -1,6 +1,6 @@
---
title: Overview
-description: How to use mem0 in your existing applications?
+description: "Browse cookbook examples and tutorials for building AI applications with Mem0, from companion chatbots to AI agents."
---
With Mem0, you can create stateful LLM-based applications such as chatbots, virtual assistants, or AI agents. Mem0 enhances your applications by providing a memory layer that makes responses:
diff --git a/docs/integrations.mdx b/docs/integrations.mdx
index fd18bdaff..5511ff27a 100644
--- a/docs/integrations.mdx
+++ b/docs/integrations.mdx
@@ -1,6 +1,6 @@
---
title: Overview
-description: How to integrate Mem0 into other frameworks
+description: "Overview of Mem0 integrations with popular AI frameworks and tools for persistent memory and context management."
---
Mem0 seamlessly integrates with popular AI frameworks and tools to enhance your LLM-based applications with persistent memory capabilities. By integrating Mem0, your applications benefit from:
diff --git a/docs/integrations/agentops.mdx b/docs/integrations/agentops.mdx
index 363ad0b72..6e4aeff86 100644
--- a/docs/integrations/agentops.mdx
+++ b/docs/integrations/agentops.mdx
@@ -1,5 +1,6 @@
---
title: AgentOps
+description: "Integrate Mem0 with AgentOps for automatic monitoring, analytics, and real-time tracking of memory operations."
---
Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [AgentOps](https://agentops.ai), a comprehensive monitoring and analytics platform for AI agents. This integration enables automatic tracking and analysis of memory operations, providing insights into agent performance and memory usage patterns.
diff --git a/docs/integrations/agno.mdx b/docs/integrations/agno.mdx
index 27c357af2..eec8cdf02 100644
--- a/docs/integrations/agno.mdx
+++ b/docs/integrations/agno.mdx
@@ -1,5 +1,6 @@
---
title: Agno
+description: "Add persistent multimodal memory to Agno-based agents using Mem0 for text and image interactions."
---
This integration of [**Mem0**](https://github.com/mem0ai/mem0) with [Agno](https://github.com/agno-agi/agno) enables persistent, multimodal memory for Agno-based agents - improving personalization, context awareness, and continuity across conversations.
diff --git a/docs/integrations/autogen.mdx b/docs/integrations/autogen.mdx
index 2c3c61397..be46b53a5 100644
--- a/docs/integrations/autogen.mdx
+++ b/docs/integrations/autogen.mdx
@@ -1,5 +1,6 @@
---
title: AutoGen
+description: "Build conversational AI agents with AutoGen and Mem0 for context-aware, personalized interactions."
---
Build conversational AI agents with memory capabilities. This integration combines AutoGen for creating AI agents with Mem0 for memory management, enabling context-aware and personalized interactions.
diff --git a/docs/integrations/aws-bedrock.mdx b/docs/integrations/aws-bedrock.mdx
index 7a311f915..71b7a9132 100644
--- a/docs/integrations/aws-bedrock.mdx
+++ b/docs/integrations/aws-bedrock.mdx
@@ -1,5 +1,6 @@
---
title: AWS Bedrock
+description: "Use Mem0 with AWS Bedrock and OpenSearch Service for cloud-native persistent semantic memory storage."
---
This integration demonstrates how to use **Mem0** with **AWS Bedrock** and **Amazon OpenSearch Service (AOSS)** to enable persistent, semantic memory in intelligent agents.
diff --git a/docs/integrations/crewai.mdx b/docs/integrations/crewai.mdx
index f40886ca9..21f2e5485 100644
--- a/docs/integrations/crewai.mdx
+++ b/docs/integrations/crewai.mdx
@@ -1,5 +1,6 @@
---
title: CrewAI
+description: "Combine CrewAI agent-based architecture with Mem0 for persistent memory across agent interactions."
---
Build an AI system that combines CrewAI's agent-based architecture with Mem0's memory capabilities. This integration enables persistent memory across agent interactions and personalized task execution based on user history.
diff --git a/docs/integrations/dify.mdx b/docs/integrations/dify.mdx
index ce6178fea..84f00a20a 100644
--- a/docs/integrations/dify.mdx
+++ b/docs/integrations/dify.mdx
@@ -1,5 +1,6 @@
---
title: Dify
+description: "Integrate Mem0 as a plugin in Dify AI workflows for persistent conversation storage and retrieval."
---
# Integrating Mem0 with Dify AI
diff --git a/docs/integrations/elevenlabs.mdx b/docs/integrations/elevenlabs.mdx
index 2e3792215..89c266ea7 100644
--- a/docs/integrations/elevenlabs.mdx
+++ b/docs/integrations/elevenlabs.mdx
@@ -1,5 +1,6 @@
---
title: ElevenLabs
+description: "Create voice-based conversational AI agents with ElevenLabs and Mem0 for context-aware voice interactions."
---
Create voice-based conversational AI agents with memory capabilities by integrating ElevenLabs and Mem0. This integration enables persistent, context-aware voice interactions that remember past conversations.
diff --git a/docs/integrations/flowise.mdx b/docs/integrations/flowise.mdx
index 743579526..8fe458424 100644
--- a/docs/integrations/flowise.mdx
+++ b/docs/integrations/flowise.mdx
@@ -1,5 +1,6 @@
---
title: Flowise
+description: "Add persistent Mem0 memory to Flowise chatflows for context-aware conversations in the low-code builder."
---
The [**Mem0 Memory**](https://github.com/mem0ai/mem0) integration with [Flowise](https://github.com/FlowiseAI/Flowise) enables persistent memory capabilities for your AI chatflows. [Flowise](https://flowiseai.com/) is an open-source low-code tool for developers to build customized LLM orchestration flows & AI agents using a drag & drop interface.
diff --git a/docs/integrations/google-ai-adk.mdx b/docs/integrations/google-ai-adk.mdx
index 4a520a99d..f90b9a1cb 100644
--- a/docs/integrations/google-ai-adk.mdx
+++ b/docs/integrations/google-ai-adk.mdx
@@ -1,5 +1,6 @@
---
title: Google ADK
+description: "Integrate Mem0 with Google Agent Development Kit for persistent memory across multi-agent workflows."
---
Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [Google ADK (Agent Development Kit)](https://github.com/google/adk-python), an open-source framework for building multi-agent workflows. This integration enables agents to access persistent memory across conversations, enhancing context retention and personalization.
diff --git a/docs/integrations/keywords.mdx b/docs/integrations/keywords.mdx
index e6def67cd..74de584ef 100644
--- a/docs/integrations/keywords.mdx
+++ b/docs/integrations/keywords.mdx
@@ -1,5 +1,6 @@
---
title: Keywords AI
+description: "Combine Mem0 persistent memory with Keywords AI observability for tracked, cost-optimized AI applications."
---
Build AI applications with persistent memory and comprehensive LLM observability by integrating Mem0 with Keywords AI.
diff --git a/docs/integrations/langchain.mdx b/docs/integrations/langchain.mdx
index 62034a044..e0687b94b 100644
--- a/docs/integrations/langchain.mdx
+++ b/docs/integrations/langchain.mdx
@@ -1,5 +1,6 @@
---
title: Langchain
+description: "Build personalized AI agents using LangChain for conversation flow and Mem0 for long-term memory retention."
---
Build a personalized Travel Agent AI using LangChain for conversation flow and Mem0 for memory retention. This integration enables context-aware and efficient travel planning experiences.
diff --git a/docs/integrations/langgraph.mdx b/docs/integrations/langgraph.mdx
index 59ac494bd..71d125ffb 100644
--- a/docs/integrations/langgraph.mdx
+++ b/docs/integrations/langgraph.mdx
@@ -1,5 +1,6 @@
---
title: LangGraph
+description: "Build customer support agents using LangGraph for conversation flow and Mem0 for personalized responses."
---
Build a personalized Customer Support AI Agent using LangGraph for conversation flow and Mem0 for memory retention. This integration enables context-aware and efficient support experiences.
diff --git a/docs/integrations/livekit.mdx b/docs/integrations/livekit.mdx
index 61a05fa0c..363207751 100644
--- a/docs/integrations/livekit.mdx
+++ b/docs/integrations/livekit.mdx
@@ -1,5 +1,6 @@
---
title: Livekit
+description: "Build memory-enabled voice assistants with LiveKit, Deepgram, OpenAI, and Mem0 for context-aware conversations."
---
This guide demonstrates how to create a memory-enabled voice assistant using LiveKit, Deepgram, OpenAI, and Mem0, focusing on creating an intelligent, context-aware travel planning agent.
diff --git a/docs/integrations/llama-index.mdx b/docs/integrations/llama-index.mdx
index 3ce30c634..8af1219fa 100644
--- a/docs/integrations/llama-index.mdx
+++ b/docs/integrations/llama-index.mdx
@@ -1,5 +1,6 @@
---
title: LlamaIndex
+description: "Use Mem0 as a memory store in LlamaIndex with support for ReAct and FunctionCalling agent types."
---
LlamaIndex supports Mem0 as a [memory store](https://llamahub.ai/l/memory/llama-index-memory-mem0). In this guide, we'll show you how to use it.
diff --git a/docs/integrations/mastra.mdx b/docs/integrations/mastra.mdx
index e3b0b4ccb..5525c976a 100644
--- a/docs/integrations/mastra.mdx
+++ b/docs/integrations/mastra.mdx
@@ -1,5 +1,6 @@
---
title: Mastra
+description: "Use Mastra agents with Mem0 as the memory backend for cross-conversation storage and retrieval."
---
The [**Mastra**](https://mastra.ai/) integration demonstrates how to use Mastra's agent system with Mem0 as the memory backend through custom tools. This enables agents to remember and recall information across conversations.
diff --git a/docs/integrations/openai-agents-sdk.mdx b/docs/integrations/openai-agents-sdk.mdx
index 32d216622..be2d22355 100644
--- a/docs/integrations/openai-agents-sdk.mdx
+++ b/docs/integrations/openai-agents-sdk.mdx
@@ -1,5 +1,6 @@
---
title: OpenAI Agents SDK
+description: "Integrate Mem0 with the OpenAI Agents SDK for persistent memory across multi-agent workflows."
---
Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [OpenAI Agents SDK](https://github.com/openai/openai-agents-python), a lightweight framework for building multi-agent workflows. This integration enables agents to access persistent memory across conversations, enhancing context retention and personalization.
diff --git a/docs/integrations/openclaw.mdx b/docs/integrations/openclaw.mdx
index d4a7f8b72..bd3400164 100644
--- a/docs/integrations/openclaw.mdx
+++ b/docs/integrations/openclaw.mdx
@@ -1,5 +1,6 @@
---
title: OpenClaw
+description: "Add long-term memory to OpenClaw agents using the Mem0 plugin with auto-recall and auto-capture support."
---
Add long-term memory to [OpenClaw](https://github.com/openclaw/openclaw) agents with the `@mem0/openclaw-mem0` plugin. Your agent forgets everything between sessions — this plugin fixes that by automatically watching conversations, extracting what matters, and bringing it back when relevant.
diff --git a/docs/integrations/vercel-ai-sdk.mdx b/docs/integrations/vercel-ai-sdk.mdx
index 21d464bf0..5066527f2 100644
--- a/docs/integrations/vercel-ai-sdk.mdx
+++ b/docs/integrations/vercel-ai-sdk.mdx
@@ -1,5 +1,6 @@
---
title: Vercel AI SDK
+description: "Use the Mem0 AI SDK Provider with Vercel AI SDK for persistent memory in conversational AI applications."
---
The [**Mem0 AI SDK Provider**](https://www.npmjs.com/package/@mem0/vercel-ai-provider) is a library developed by **Mem0** to integrate with the Vercel AI SDK. This library brings enhanced AI interaction capabilities to your applications by introducing persistent memory functionality.
diff --git a/docs/introduction.mdx b/docs/introduction.mdx
index 188133b56..8840f6c44 100644
--- a/docs/introduction.mdx
+++ b/docs/introduction.mdx
@@ -1,6 +1,6 @@
---
title: "Welcome to Mem0"
-description: "Memory layer for AI agents"
+description: "Mem0 is a universal, self-improving memory layer for LLM applications that enables persistent context across sessions."
mode: "custom"
---
diff --git a/docs/migration/api-changes.mdx b/docs/migration/api-changes.mdx
index 9a97bf0ae..15ebdbe3c 100644
--- a/docs/migration/api-changes.mdx
+++ b/docs/migration/api-changes.mdx
@@ -1,6 +1,6 @@
---
title: API Reference Changes
-description: 'Complete API changes between v0.x and v1.0.0 Beta'
+description: "Comprehensive reference of all API changes between Mem0 v0.x and v1.0.0 Beta, organized by component and method."
icon: "code"
iconType: "solid"
---
diff --git a/docs/open-source/multimodal-support.mdx b/docs/open-source/multimodal-support.mdx
index a147268ca..c9d7f9ee8 100644
--- a/docs/open-source/multimodal-support.mdx
+++ b/docs/open-source/multimodal-support.mdx
@@ -1,5 +1,6 @@
---
title: Multimodal Support
+description: "Enable multimodal support in Mem0 to process images alongside text and extract visual information into memory."
icon: "image"
iconType: "solid"
---
diff --git a/docs/open-source/python-quickstart.mdx b/docs/open-source/python-quickstart.mdx
index 98e6032e0..2e530ea61 100644
--- a/docs/open-source/python-quickstart.mdx
+++ b/docs/open-source/python-quickstart.mdx
@@ -1,6 +1,6 @@
---
title: Python SDK Quickstart
-description: "Get started with Mem0 quickly!"
+description: "Install the Mem0 Python SDK, configure your environment, and store your first memory in under five minutes."
icon: "snake"
---
diff --git a/docs/openmemory/integrations.mdx b/docs/openmemory/integrations.mdx
index 3f72a9d05..99a8d69c7 100644
--- a/docs/openmemory/integrations.mdx
+++ b/docs/openmemory/integrations.mdx
@@ -1,5 +1,6 @@
---
title: MCP Client Integration Guide
+description: "Connect MCP-compatible clients to a locally running OpenMemory server for seamless memory integration."
icon: "plug"
iconType: "solid"
---
diff --git a/docs/openmemory/overview.mdx b/docs/openmemory/overview.mdx
index ba863407a..59f0d3885 100644
--- a/docs/openmemory/overview.mdx
+++ b/docs/openmemory/overview.mdx
@@ -1,5 +1,6 @@
---
title: Overview
+description: "Overview of OpenMemory, a local and hosted memory infrastructure powered by Mem0 with MCP server support."
icon: "info"
iconType: "solid"
---
diff --git a/docs/openmemory/quickstart.mdx b/docs/openmemory/quickstart.mdx
index bf784c790..7886e9896 100644
--- a/docs/openmemory/quickstart.mdx
+++ b/docs/openmemory/quickstart.mdx
@@ -1,5 +1,6 @@
---
title: Quickstart
+description: "Get started with hosted or self-hosted OpenMemory MCP, including API key setup and client installation."
icon: "terminal"
iconType: "solid"
---
diff --git a/docs/platform/faqs.mdx b/docs/platform/faqs.mdx
index 40bd791ff..3baa45274 100644
--- a/docs/platform/faqs.mdx
+++ b/docs/platform/faqs.mdx
@@ -1,5 +1,6 @@
---
title: FAQs
+description: "Frequently asked questions about how Mem0 works, its key features, hybrid database architecture, and memory management."
icon: "question"
iconType: "solid"
---
diff --git a/docs/platform/features/async-client.mdx b/docs/platform/features/async-client.mdx
index 4ad32dc02..51c73a333 100644
--- a/docs/platform/features/async-client.mdx
+++ b/docs/platform/features/async-client.mdx
@@ -1,6 +1,6 @@
---
title: Async Client
-description: 'Asynchronous client for Mem0'
+description: "Use the AsyncMemoryClient for non-blocking memory operations in high-concurrency Python applications."
---
The `AsyncMemoryClient` is an asynchronous client for interacting with the Mem0 API. It provides similar functionality to the synchronous `MemoryClient` but allows for non-blocking operations, which can be beneficial in applications that require high concurrency.
diff --git a/docs/platform/features/async-mode-default-change.mdx b/docs/platform/features/async-mode-default-change.mdx
index d7a7da93e..7fb39017d 100644
--- a/docs/platform/features/async-mode-default-change.mdx
+++ b/docs/platform/features/async-mode-default-change.mdx
@@ -1,6 +1,6 @@
---
title: Async Mode Default Change
-description: 'Important update to Memory Addition API behavior'
+description: "The async_mode parameter now defaults to true for all memory additions, changing from synchronous processing."
---
diff --git a/docs/platform/features/criteria-retrieval.mdx b/docs/platform/features/criteria-retrieval.mdx
index 6ef7d7a14..aabc27c76 100644
--- a/docs/platform/features/criteria-retrieval.mdx
+++ b/docs/platform/features/criteria-retrieval.mdx
@@ -1,5 +1,6 @@
---
title: Criteria Retrieval
+description: "Rank and retrieve memories based on custom-defined criteria like emotional tone, intent, and behavioral signals."
---
Mem0's Criteria Retrieval feature allows you to retrieve memories based on your defined criteria. It goes beyond generic semantic relevance and ranks memories based on what matters to your application: emotional tone, intent, behavioral signals, or other custom traits.
diff --git a/docs/platform/features/custom-categories.mdx b/docs/platform/features/custom-categories.mdx
index c784a5b94..1b6a9310b 100644
--- a/docs/platform/features/custom-categories.mdx
+++ b/docs/platform/features/custom-categories.mdx
@@ -1,6 +1,6 @@
---
title: Custom Categories
-description: "Teach Mem0 the labels that matter to your team."
+description: "Replace default memory tags with custom category labels that match your product terminology at the project level."
---
# Custom Categories
diff --git a/docs/platform/features/feedback-mechanism.mdx b/docs/platform/features/feedback-mechanism.mdx
index ac9b9bc19..a74a267b4 100644
--- a/docs/platform/features/feedback-mechanism.mdx
+++ b/docs/platform/features/feedback-mechanism.mdx
@@ -1,5 +1,6 @@
---
title: Feedback Mechanism
+description: "Provide positive or negative feedback on generated memories to continuously improve accuracy and search results."
---
Mem0's Feedback Mechanism allows you to provide feedback on the memories generated by your application. This feedback is used to improve the accuracy of the memories and search results.
diff --git a/docs/platform/features/graph-threshold.mdx b/docs/platform/features/graph-threshold.mdx
index 8aa1edbce..8bd841e66 100644
--- a/docs/platform/features/graph-threshold.mdx
+++ b/docs/platform/features/graph-threshold.mdx
@@ -1,5 +1,6 @@
---
title: Configurable Graph Threshold
+description: "Configure the graph store threshold parameter to control how strictly nodes are matched during data ingestion."
---
## Overview
diff --git a/docs/platform/platform-vs-oss.mdx b/docs/platform/platform-vs-oss.mdx
index 0b4ee1bcf..59f7bedc6 100644
--- a/docs/platform/platform-vs-oss.mdx
+++ b/docs/platform/platform-vs-oss.mdx
@@ -1,6 +1,6 @@
---
title: "Platform vs Open Source"
-description: "Choose the right Mem0 solution for your needs"
+description: "Compare Mem0 Platform and Open Source to choose the right solution for managed hosting or self-hosted deployment."
icon: "code-compare"
---
diff --git a/docs/platform/quickstart.mdx b/docs/platform/quickstart.mdx
index 504f9063c..5adeebf71 100644
--- a/docs/platform/quickstart.mdx
+++ b/docs/platform/quickstart.mdx
@@ -1,6 +1,6 @@
---
title: Quickstart
-description: "Get started with Mem0 Platform in minutes"
+description: "Set up your Mem0 Platform account, install the SDK, and store your first memory in under five minutes."
icon: "bolt"
iconType: "solid"
---