Tool overview
Chroma is listed under AI Infrastructure & MLOps AI tools.
What is Chroma?
Chroma stores documents, metadata, and embeddings for dense, sparse, hybrid, full-text, regex, and multimodal retrieval. Teams can run the Apache-2.0 database locally or self-hosted, use the serverless Chroma Cloud, or deploy enterprise single-tenant, BYOC, and on-prem configurations.
Best for
Developers building retrieval, memory, and search for AI applications
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
Dense, sparse, hybrid, and full-text search
Document, metadata, and multimodal retrieval
Python, TypeScript, and Rust clients
Local, cloud, BYOC, and on-prem deployment
Use cases
Build semantic search
Create retrieval-augmented generation
Store agent memory
Index code and multimodal content
Pros
- Apache-2.0 open-source engine
- Zero-dollar Starter platform fee
- Broad deployment choices
Limitations
Poor chunking, metadata, or embeddings can reduce retrieval relevance.
Self-hosted production requires security, backups, monitoring, scaling, and upgrade planning.
Pricing details
Billing options
Pricing note
Open-source Chroma is free. Cloud Starter is $0/month plus usage with $5 in new-user credits. Writes cost $2.50/GiB, storage $0.33/GiB-month, queries $0.0075/TiB, and network return $0.09/GiB. Team is $250/month plus usage.
Supported languages
- English
Integrations
OpenAI
Cohere
Hugging Face
sentence-transformers
Google Gemini
GitHub Sync
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