The vector store is usually the first layer you have to settle when putting RAG into production. This collection covers hosted services, self-hostable open-source options, and the retrieval infrastructure around them. Estimate your data scale first, then decide whether data may leave your network, and only then look at the price list.
Tool list
6 toolsZvec Hot New
AI vector database and embedding tool for semantic search and RAG applications
Pinecone Hot New
Fully managed vector database with no operations work; the Starter tier is free forever with 2GB of storage, and reads, writes and storage are billed separately
Weaviate Hot New
Open-source vector database under BSD-3 that is free to self-host; its focus is hybrid retrieval that blends vector similarity with BM25 keyword search
Milvus Hot New
CNCF open-source vector database under Apache 2.0, built for billion-scale retrieval; since 3.0 it can index data directly on lakehouse formats such as Iceberg and Lance
Qdrant Hot New
Open-source vector database written in Rust under Apache 2.0; the cloud offers a permanent free tier, while Standard bills by vCPU and memory with no separate query or vector charges
Chroma Hot New
Open-source retrieval infrastructure for AI under Apache 2.0, putting vector, full-text and metadata search behind one interface and usable as an embedded library
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