fix(docs): SEO improvements for page titles, internal links, and URL structure (#7224)

This commit is contained in:
Kartik
2026-09-04 20:32:23 +05:30
committed by GitHub
parent 9a7924befd
commit dae67f74f5
100 changed files with 279 additions and 133 deletions
@@ -1,5 +1,7 @@
---
title: AWS Bedrock
seo:
title: "AWS Bedrock as Embedding Provider - Mem0"
description: "Configure AWS Bedrock as an embedding provider in Mem0 with IAM credentials and boto3 authentication."
---
@@ -1,5 +1,7 @@
---
title: Azure OpenAI
seo:
title: "Azure OpenAI as Embedding Provider - Mem0"
description: "Configure Azure OpenAI as an embedding provider in Mem0 with API key, deployment, and endpoint settings."
---
@@ -1,5 +1,7 @@
---
title: Google AI
seo:
title: "Google AI as Embedding Provider - Mem0"
description: "Configure Google AI as an embedding provider in Mem0 using Gemini models and the GOOGLE_API_KEY variable."
---
@@ -1,5 +1,7 @@
---
title: LangChain
seo:
title: "LangChain as Embedding Provider - Mem0"
description: "Use LangChain as an embedding provider in Mem0 to access a wide range of models through a unified interface."
---
@@ -1,5 +1,7 @@
---
title: "LM Studio"
seo:
title: "LM Studio as Embedding Provider - Mem0"
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.
@@ -1,5 +1,7 @@
---
title: "Ollama"
seo:
title: "Ollama as Embedding Provider - Mem0"
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.
@@ -1,5 +1,7 @@
---
title: OpenAI
seo:
title: "OpenAI as Embedding Provider - Mem0"
description: "Configure OpenAI as an embedding provider in Mem0 using models like text-embedding-3-large for vector generation."
---
@@ -1,5 +1,7 @@
---
title: Together
seo:
title: "Together AI as Embedding Provider - Mem0"
description: "Configure Together AI as an embedding provider in Mem0 with support for 1024-dimensional embedding models."
---