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Best Vector Databases for RAG & AI Agents
High-speed semantic search, hybrid keyword filtering, and low-latency embedding storage.
#1Qdrant Vector Database
- Written in Rust for ultra-low latency and minimal RAM footprint
- Built-in quantization reduces memory costs by up to 90%
- Rich payload filtering and hybrid sparse-dense vector search
#2Pinecone Serverless Vector DB
- Separation of storage and compute for elastic cost scaling
- Turnkey LangChain, LlamaIndex, and Amazon Bedrock integrations
- Enterprise HIPAA and SOC2 Type II compliance out of the box
#3Supabase pgvector
- Store embeddings alongside relational user tables with ACID guarantees
- HNSW indexing with sub-10ms similarity lookups
- Enforce Row-Level Security (RLS) directly on RAG document chunks
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