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

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Kartik
2026-09-04 20:32:23 +05:30
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docs/llms.txt
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@@ -239,7 +239,7 @@ If the user is on a pre-current major (Python < 2, TS < 3, or a Platform call st
- [OSS Multimodal Support (features)](https://docs.mem0.ai/open-source/features/multimodal-support) [OSS]: Use when handling images and PDFs self-hosted (feature guide).
- [Custom Instructions (OSS)](https://docs.mem0.ai/open-source/features/custom-instructions) [OSS]: Use when tailoring extraction prompts in OSS.
- [REST API Server](https://docs.mem0.ai/open-source/features/rest-api) [OSS]: Use when exposing a self-hosted Mem0 as a FastAPI service.
- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai_compatibility) [OSS]: Use when hitting an OpenAI-compatible endpoint with self-hosted.
- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai-compatibility) [OSS]: Use when hitting an OpenAI-compatible endpoint with self-hosted.
## Integrations
@@ -452,12 +452,12 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [LLM Configuration](https://docs.mem0.ai/components/llms/config) [OSS]: Use for the `llm` config schema.
- [OpenAI](https://docs.mem0.ai/components/llms/models/openai) [OSS]: Use when the extraction LLM is OpenAI.
- [Anthropic](https://docs.mem0.ai/components/llms/models/anthropic) [OSS]: Use when the extraction LLM is Claude.
- [Azure OpenAI](https://docs.mem0.ai/components/llms/models/azure_openai) [OSS]: Use when the user is on Azure-hosted OpenAI.
- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws_bedrock) [OSS]: Use when the LLM runs through Bedrock.
- [Google AI](https://docs.mem0.ai/components/llms/models/google_AI) [OSS]: Use when the LLM is Gemini.
- [Azure OpenAI](https://docs.mem0.ai/components/llms/models/azure-openai) [OSS]: Use when the user is on Azure-hosted OpenAI.
- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws-bedrock) [OSS]: Use when the LLM runs through Bedrock.
- [Google AI](https://docs.mem0.ai/components/llms/models/google-ai) [OSS]: Use when the LLM is Gemini.
- [Groq](https://docs.mem0.ai/components/llms/models/groq) [OSS]: Use when the user wants Groq's low-latency inference.
- [DeepSeek](https://docs.mem0.ai/components/llms/models/deepseek) [OSS]: Use when the LLM is DeepSeek.
- [Mistral AI](https://docs.mem0.ai/components/llms/models/mistral_AI) [OSS]: Use when the LLM is Mistral.
- [Mistral AI](https://docs.mem0.ai/components/llms/models/mistral-ai) [OSS]: Use when the LLM is Mistral.
- [MiniMax](https://docs.mem0.ai/components/llms/models/minimax) [OSS]: Use when the LLM is MiniMax.
- [xAI](https://docs.mem0.ai/components/llms/models/xAI) [OSS]: Use when the LLM is xAI Grok.
- [Sarvam](https://docs.mem0.ai/components/llms/models/sarvam) [OSS]: Use for Indian-language Sarvam models.
@@ -472,9 +472,9 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [Embeddings Overview](https://docs.mem0.ai/components/embedders/overview) [OSS]: Use when choosing an embedding model.
- [Embeddings Configuration](https://docs.mem0.ai/components/embedders/config) [OSS]: Use for the `embedder` config schema.
- [OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/openai) [OSS]: Use when embeddings come from OpenAI.
- [Azure OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/azure_openai) [OSS]: Use for Azure-hosted OpenAI embeddings.
- [AWS Bedrock Embeddings](https://docs.mem0.ai/components/embedders/models/aws_bedrock) [OSS]: Use for Bedrock-hosted embeddings.
- [Google AI Embeddings](https://docs.mem0.ai/components/embedders/models/google_AI) [OSS]: Use for Gemini embeddings.
- [Azure OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/azure-openai) [OSS]: Use for Azure-hosted OpenAI embeddings.
- [AWS Bedrock Embeddings](https://docs.mem0.ai/components/embedders/models/aws-bedrock) [OSS]: Use for Bedrock-hosted embeddings.
- [Google AI Embeddings](https://docs.mem0.ai/components/embedders/models/google-ai) [OSS]: Use for Gemini embeddings.
- [Vertex AI Embeddings](https://docs.mem0.ai/components/embedders/models/vertexai) [OSS]: Use for Google Cloud Vertex AI embeddings.
- [Hugging Face Embeddings](https://docs.mem0.ai/components/embedders/models/huggingface) [OSS]: Use for open-source HF embedding models.
- [Ollama Embeddings](https://docs.mem0.ai/components/embedders/models/ollama) [OSS]: Use when embeddings run through local Ollama.
@@ -494,7 +494,7 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [MongoDB](https://docs.mem0.ai/components/vectordbs/dbs/mongodb) [OSS]: Use when Mongo Atlas Vector Search is the backing store.
- [Oracle AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/oracledb) [OSS]: Use when Oracle Database AI Vector Search is the backing store.
- [Azure AI Search](https://docs.mem0.ai/components/vectordbs/dbs/azure) [OSS]: Use when the user is on Azure AI Search.
- [Azure MySQL](https://docs.mem0.ai/components/vectordbs/dbs/azure_mysql) [OSS]: Use when vector search runs on Azure Database for MySQL.
- [Azure MySQL](https://docs.mem0.ai/components/vectordbs/dbs/azure-mysql) [OSS]: Use when vector search runs on Azure Database for MySQL.
- [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis) [OSS]: Use when Redis Stack is the backing store.
- [Valkey](https://docs.mem0.ai/components/vectordbs/dbs/valkey) [OSS]: Use when the user is on Valkey (Redis fork).
- [Elasticsearch](https://docs.mem0.ai/components/vectordbs/dbs/elasticsearch) [OSS]: Use when Elasticsearch is the backing store.
@@ -503,15 +503,15 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [Neon](https://docs.mem0.ai/components/vectordbs/dbs/neon) [OSS]: Use when Neon Postgres with pgvector is the backing store.
- [Upstash Vector](https://docs.mem0.ai/components/vectordbs/dbs/upstash-vector) [OSS]: Use for serverless Upstash Vector.
- [Vectorize](https://docs.mem0.ai/components/vectordbs/dbs/vectorize) [OSS]: Use when the store is Cloudflare Vectorize.
- [Vertex AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/vertex_ai) [OSS]: Use when the store is Google Cloud Vertex Vector Search.
- [Vertex AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/vertex-ai) [OSS]: Use when the store is Google Cloud Vertex Vector Search.
- [Weaviate](https://docs.mem0.ai/components/vectordbs/dbs/weaviate) [OSS]: Use when Weaviate is the backing store.
- [FAISS](https://docs.mem0.ai/components/vectordbs/dbs/faiss) [OSS]: Use for local FAISS-based similarity search.
- [LangChain Vector Store](https://docs.mem0.ai/components/vectordbs/dbs/langchain) [OSS]: Use when the vector store is wrapped behind LangChain.
- [Baidu](https://docs.mem0.ai/components/vectordbs/dbs/baidu) [OSS]: Use when the user is on Baidu Cloud vector service.
- [Cassandra](https://docs.mem0.ai/components/vectordbs/dbs/cassandra) [OSS]: Use when Cassandra is the backing store.
- [S3 Vectors](https://docs.mem0.ai/components/vectordbs/dbs/s3_vectors) [OSS]: Use for AWS S3 Vectors.
- [S3 Vectors](https://docs.mem0.ai/components/vectordbs/dbs/s3-vectors) [OSS]: Use for AWS S3 Vectors.
- [Databricks](https://docs.mem0.ai/components/vectordbs/dbs/databricks) [OSS]: Use when the user is on Databricks with Delta Lake.
- [Neptune Analytics](https://docs.mem0.ai/components/vectordbs/dbs/neptune_analytics) [OSS]: Use when the user is on AWS Neptune Analytics (graph + vector).
- [Neptune Analytics](https://docs.mem0.ai/components/vectordbs/dbs/neptune-analytics) [OSS]: Use when the user is on AWS Neptune Analytics (graph + vector).
- [Turbopuffer](https://docs.mem0.ai/components/vectordbs/dbs/turbopuffer) [OSS]: Use when the user is on Turbopuffer serverless.
### Rerankers [OSS]
@@ -520,7 +520,7 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [Reranker Optimization](https://docs.mem0.ai/components/rerankers/optimization) [OSS]: Use when tuning reranker performance.
- [Custom Reranker Prompts](https://docs.mem0.ai/components/rerankers/custom-prompts) [OSS]: Use when rewriting reranker prompts.
- [Cohere Reranker](https://docs.mem0.ai/components/rerankers/models/cohere) [OSS]: Use for Cohere Rerank.
- [Sentence Transformer Reranker](https://docs.mem0.ai/components/rerankers/models/sentence_transformer) [OSS]: Use for local cross-encoder rerankers.
- [Sentence Transformer Reranker](https://docs.mem0.ai/components/rerankers/models/sentence-transformer) [OSS]: Use for local cross-encoder rerankers.
- [Hugging Face Reranker](https://docs.mem0.ai/components/rerankers/models/huggingface) [OSS]: Use for HF-hosted reranker models.
- [LLM Reranker](https://docs.mem0.ai/components/rerankers/models/llm_reranker) [OSS]: Use when the reranker is a prompted LLM (implementation reference).
- [Zero Entropy Reranker](https://docs.mem0.ai/components/rerankers/models/zero_entropy) [OSS]: Use for the Zero Entropy reranker.
- [LLM Reranker](https://docs.mem0.ai/components/rerankers/models/llm-reranker) [OSS]: Use when the reranker is a prompted LLM (implementation reference).
- [Zero Entropy Reranker](https://docs.mem0.ai/components/rerankers/models/zero-entropy) [OSS]: Use for the Zero Entropy reranker.