Vector Database Setup Configure vector databases for semantic search and AI applications. Core Workflow 1. Choose database : Select based on requirements 2. Setup connection : Configure client 3. Generate embeddings : Create vector representations 4. Index documents : Store with metadata 5. Query vectors : Semantic similarity search 6. Optimize : Tune for performance Database Comparison | Database | Type | Best For | Scaling | |----------|------|----------|---------| | Pinecone | Managed | Production, no ops | Automatic | | Chroma | Embedded/Server | Development, local | Manual | | pgvector |…