Chroma
Store, embed, and search AI data with advanced vector, metadata, and full-text retrieval. Easy to use, self-host or cloud.
Editor's Verdict
Key Takeaways
- Document Storage
- Embeddings
- Vector Search
- Full-Text & Regex Search
In-Depth Review: What is Chroma?
Chroma is the leading open-source data infrastructure for AI. It provides everything you need for retrieval: store documents and metadata, use any embedding model, perform dense, sparse, hybrid, and full-text searches, filter by metadata, and retrieve across text, images, audio, and more. Run locally, self-host, or use Chroma Cloud for a managed experience. Get started quickly with the SDK or create a cloud database.
Core Features
Document Storage
Store documents and metadata seamlessly.
Embeddings
Use any embedding model (OpenAI, Cohere, Hugging Face, sentence-transformers, and more).
Vector Search
Dense, sparse, and hybrid search. Query by similarity and combine multiple search strategies.
Full-Text & Regex Search
Keyword and regex search over your data without embeddings.
Metadata Filtering
Filter results at query time by metadata conditions.
Multi-Modal Retrieval
Index and search images, audio, and other modalities alongside text.
Pricing
Starter
- 10 databases
- 10 team members
- Community Slack
Team
- 100 databases
- 30 team members
- Slack support
- SOC II
- Volume-based discounts
Enterprise
- Unlimited databases
- Unlimited team members
- Dedicated support
- Single tenant clusters
- BYOC clusters
- SLAs
Pros and Cons
Pros
- Open SourceLicensed under Apache 2.0, allowing self-hosting and customization.
- Multi-Modal SupportIndex and search across text, images, audio, and more.
- Flexible SearchCombines dense vector, sparse vector, full-text, and regex search.
- Usage-Based PricingPay only for what you use with clear per-unit costs.
- Scalable Cloud OptionChroma Cloud provides serverless, scalable infrastructure.
Cons
- Complex PricingMultiple dimensions (write, storage, query, network) can be confusing to estimate.
- Starter LimitationsFree plan limits to 10 databases and 10 team members.
- Usage Costs Add UpHigh volume usage may become expensive compared to flat-rate plans.
- No Yearly DiscountPricing appears monthly only; no annual discount mentioned.
- Enterprise Requires ContactCustom pricing means no upfront visibility for large organizations.
Use Cases & Recommended Professions
Software Engineer→ View Toolkit
Needs to integrate AI retrieval into applications, build code search, or agentic systems.
Data Scientist→ View Toolkit
Requires efficient storage and querying of embeddings for ML workflows.
AI Engineer→ View Toolkit
Builds RAG pipelines and needs flexible search across modalities.
Machine Learning Engineer→ View Toolkit
Manages embedding pipelines and vector databases for production models.
Product Manager→ View Toolkit
Evaluates infrastructure for AI features, needs understanding of pricing and capabilities.
DevOps Engineer→ View Toolkit
Deploys and manages self-hosted or cloud vector databases for teams.
Frequently Asked Questions
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ℹ️ Curation Disclosure: The overview and features of Chroma were synthesized using AI and fact-checked by our curation team to ensure accuracy.
