Top vector database alternatives for RAG pipelines
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A comparison of vector database options for RAG pipelines and AI applications, covering Redis, Pinecone, Weaviate, Milvus, Qdrant, Chroma, and pgvector. The piece evaluates each platform across indexing algorithms, hybrid search, semantic caching, deployment flexibility, and scale. Redis is positioned as a unified real-time platform that consolidates vector search, semantic caching, session management, and agent memory in one system, contrasting with purpose-built vector databases that handle only vector search. Key decision factors include latency requirements, LLM cost reduction via semantic caching, hybrid search support, and operational overhead of running multiple systems.