Best Vector Databases & RAG Infrastructure for enterprise teams
Last verified:
- 1. MongoDB Atlas Vector Search90/100 agent-readiness
Native vector search built into MongoDB Atlas, letting teams store operational data, metadata, and vector embeddings in one place.
- 2. Qdrant85/100 agent-readiness
Open-source, Rust-built vector database and search engine for RAG and AI apps, available self-hosted or via managed Qdrant Cloud.
- 3. Zilliz Cloud85/100 agent-readiness
Fully managed cloud database built on open-source Milvus for large-scale vector search and RAG/AI workloads.
- 4. Pinecone81/100 agent-readiness
Fully-managed, serverless vector database with usage-based pricing for building AI search, RAG, and recommendation applications at scale.
- 5. Weaviate82/100 agent-readiness
Open-source AI-native vector database with built-in hybrid search and multi-tenancy, usable self-hosted or via managed Weaviate Cloud.
FAQ
What's the best Vector Databases & RAG Infrastructure tool for enterprise teams?
Based on Crail's agent-readiness score, MongoDB Atlas Vector Search ranks highest among tools serving enterprise teams (90/100), among 6 vendors tracked in this category that fit enterprise teams.
Which is cheapest to start with?
Chroma has a free tier.
Can I buy without talking to sales?
Yes — Chroma can be purchased self-serve without a sales call.