Vector Databases
Vector databases purpose-built for AI applications — store, index, and search high-dimensional embeddings at scale. These are the retrieval backbone of RAG pipelines, semantic search, and long-term agent memory. Available as managed cloud services or open-source self-hosted deployments.
ChromaDB
Open-source embedding database for local and cloud AI apps. Simple API for storing, querying, and filtering embeddings.…
Pinecone
Fully managed vector database for AI applications. Store and search billions of high-dimensional embeddings with low la…
Qdrant
High-performance open-source vector database. Supports dense, sparse, and multi-vector search. On-premise or cloud. Rus…
Milvus
High-performance open-source vector database with REST API, gRPC, and an official MCP server. Stores billions of vector…
Supabase MCP
Official Supabase MCP server. Lets AI agents manage Postgres databases, run queries, handle migrations, store pgvector…
Weaviate
Stores objects and vectors together, combining semantic search with structured filtering for scalable, cloud-native AI…