LLMs & AI Infra Vector DB stable
Chroma
AI-native open-source embedding database
17.0K stars
150 contributors
Since 2021
Simple vector database designed for AI applications with easy Python/JS API, metadata filtering, and multi-modal support.
License
Apache-2.0
Min RAM
512 MB
Min CPUs
1 core
Scaling
single_node
Complexity
intermediate
Performance
enterprise grade
Self-hostable
✓
K8s native
✓
Offline
✕
Pricing
fully free
Docs quality
good
Vendor lock-in
none
Use cases
- ✓ RAG retrieval backend for LLM applications
- ✓ Product recommendation via embedding similarity
- ✓ Semantic document search across knowledge base
- ✓ Image similarity search for e-commerce
Anti-patterns / when NOT to use
- ✕ Not for billion-scale workloads
- ✕ Limited distributed capabilities
- ✕ Less feature-rich than Milvus/Qdrant
Integrates with
Compare with alternatives
Replaces / alternatives to
Technical specs
Language
PythonRust
API type
RESTgRPC
Protocols
HTTP
Data model
vector
Deployment
dockerbinary
SDKs
pythonjavascriptgorust
Community
GitHub stars 17.0K
Contributors 150
Commit frequency daily
Plugin ecosystem none
Backing Chroma
Funding vc_backed
Release
Latest version
— Last release —
Since 2021
Best fit
Team size
solosmallmediumenterprise
Industries
saase-commercehealthcarelegaleducation