Chroma
Free tierOpen-source search infrastructure for AI — vector, full-text, regex, and metadata search at scale
Key strengths
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Chroma — Open-Source Search Infrastructure for AI
Chroma is an open-source (Apache 2.0), self-hostable search infrastructure layer purpose-built for AI applications. It unifies vector, full-text, regex, and metadata search in a single system, eliminating the need to stitch together multiple search backends. The managed cloud offering is fully serverless and auto-scaling, requiring zero engineering ops overhead.
Architecture highlights:
- Built on object storage (S3/GCS), delivering up to 10× lower cost than legacy vector database systems
- API-available with integrations for AWS PrivateLink, S3, GCS, and GitHub
- SOC 2 Type II compliant
- BYOC (Bring Your Own Cloud) and multi-region support for enterprise deployments
- 29,533+ GitHub stars and 15M+ monthly downloads
Pricing model (usage-based):
| Tier | Base | Credits Included |
|---|---|---|
| Starter | $0/month | $5 free credits |
| Team | $250/month | $100 credits |
| Enterprise | Custom | Custom |
Usage rates: Write $2.50/GiB · Storage $0.33/GiB/month · Query $0.0075/TiB · Network $0.09/GiB returned.
Founded in 2022, Chroma is the infrastructure choice for engineering teams building RAG pipelines and AI-native search at scale.
