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Vector databases are essential infrastructure for modern AI applications, powering semantic search, RAG, and recommendation systems. This comprehensive guide explains how vector databases work and compares Pinecone, Weaviate, Qdrant, Chroma, Milvus, and pgvector. Analyze query speed, indexing algorithms (HNSW, IVF), pricing, scalability, and integration with popular AI frameworks.
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Vector databases are essential infrastructure for modern AI applications, powering semantic search, RAG, and recommendation systems. This comprehensive guide explains how vector databases work and compares Pinecone, Weaviate, Qdrant, Chroma, Milvus, and pgvector. Analyze query speed, indexing algorithms (HNSW, IVF), pricing, scalability, and integration with popular AI frameworks.
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