Vector search fundamentals: approximate nearest neighbor (ANN) search, HNSW (Hierarchical Navigable Small World) index, IVF (Inverted File Index). Faiss: flat L2/cosine, IVFFlat, IVFPQ, HNSW. Production vector DBs: Pinecone (managed, serverless), Weaviate (multi-modal, hybrid BM25+vector), Qdrant (Rust, payload filtering), Milvus (distributed, GPU). Embedding models: OpenAI text-embedding-3, Cohere embed-v3, BGE-M3 (multi-lingual, multi-granularity). Hybrid search: RRF (Reciprocal Rank...
- vector-search
- embeddings
- rag