Open-source vector database for AI applications
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6 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Simple to use
Biggest con
Not for production scale
TL;DR - Chroma
- Chroma is an open-source vector database designed for building AI applications with embeddings
- It stores and queries vector embeddings for semantic search, RAG, and AI memory applications
- Completely free and open-source with a hosted cloud option coming
Pricing: Paid only
Best for: Enterprises & pros
4.2/5 across review platforms
What is Chroma?
Chroma is a vector database built for AI applications. Store embeddings, query by similarity, and power retrieval-augmented generation with a database designed for how LLMs actually work.
The API is simple. Local mode requires no setup. Scaling happens when you need it. The focus is making vector search accessible.
Developers building AI applications that need vector storage choose Chroma for an approachable database that handles embeddings natively.
Available on: Web, macOS, Linux, Windows
Pros & Cons
Pros
- Simple to use
- Good for prototyping
- Open source
- Python native
- Lightweight
Cons
- Not for production scale
- Limited features
- Persistence basic
- Documentation gaps
- Smaller community
Ratings Across the Web
4.2(6 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Vector databaseAI nativeEmbeddingsPython-firstSelf-hostedOpen source
Pricing Plans
Free TrialOpen Source
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Usage-based pricing
- Vector database
- Full-text search
- AI embeddings
- Python-native
Most Popular
Cloud
Free
$5 free credits
- Serverless
- Auto-scaling
- Managed
- Fast queries
Reviews
4.2/5
Across 6 verified user reviews on G2
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Chroma FAQ
Is Chroma free?
Open source is free. Chroma Cloud in beta with free tier. Commercial pricing coming.
What is Chroma?
Chroma is an open-source embedding database. Store and query embeddings for AI apps. Simple Python and JavaScript APIs.
Chroma vs Pinecone?
Chroma is open source and simpler. Pinecone is managed with more features. Chroma for getting started; Pinecone for scale.
What is Chroma used for?
RAG applications, semantic search, recommendations. Any app that needs vector similarity search.
Source: trychroma.com