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The open-source embedding database for AI
Chroma is an open-source embedding database designed to make building LLM applications simple for developers. Its Python-first, batteries-included API lets teams create collections, add documents, and run similarity queries in a few lines of code, making it a favorite for prototyping RAG systems and AI features. Chroma can run embedded in a process, as a local server, or as a hosted service for production.
Chroma emphasizes developer experience and a gentle learning curve, handling embedding generation, storage, and retrieval with minimal setup. It integrates tightly with popular frameworks like LangChain and LlamaIndex, so moving from experiment to application is smooth. For teams that value speed of iteration and simplicity, Chroma is a common starting point for embedding search.
Pricing Model
FREEMIUM
Starting Price
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Free Options
Free version
| Feature | Open Source Popular | Chroma Cloud |
|---|---|---|
| Embedded and server modes | — | |
| Python and JS clients | — | |
| Embedding functions | — | |
| LangChain and LlamaIndex support | — | |
| Community support | — | |
| Managed hosting | — | |
| Usage-based pricing | — | |
| Scaling and backups | — | |
| Monitoring | — | |
| Priority support | — |
Other
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Open-source vector database built for scale
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