Azure Cosmos DB for AI, RAG & Search

Best practices for AI, RAG, and search on Azure Cosmos DB: vector search, full-text search, LangChain/LangGraph integration, and AI-agent design patterns.

When to Apply

Reference these guidelines when building RAG or AI-agent applications on Azure Cosmos DB with vector search, full-text search, or LangChain/LangGraph.

Rules

Vector Search

• vector-distance-query - Use VectorDistance for Similarity Search
• vector-embedding-policy - Define Vector Embedding Policy
• vector-enable-feature - Enable Vector Search Feature on Account
• vector-index-type - Configure Vector Indexes in Indexing Policy
• vector-normalize-embeddings - Normalize Embeddings for Cosine Similarity
• vector-repository-pattern - Implement Repository Pattern for Vector Search