Vector databases store data as numerical vectors and enable fast similarity searches. They are essential for RAG systems, recommendation engines, and semantic search. Popular options include Pinecone, Weaviate, Qdrant, ChromaDB, and pgvector (PostgreSQL extension). They index vectors using algorithms like HNSW for efficient nearest-neighbor queries.
Vector Database
A database optimized for storing and querying high-dimensional vector embeddings for similarity search.
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