Chroma
Chroma: A flexible vector database for multimodal retrieval, with a free tier and paid usage costs. Ranked #14 of 27 in Vector Databases by our editors (8.0/10); pricing: Free plan; best for AI teams needing multimodal retrieval integrations.
At a glance
- Editor score8.0 / 10
- PricingFree plan
- Best forAI teams needing multimodal retrieval integrations
- Free planYes
- Paid from$250/mo
- DeploymentBoth
- Facts checked22 Sep 2026
Where it wins
- Supports dense, sparse, hybrid, full-text, regex, and metadata search
- Connects with eight AI platforms, including OpenAI and Hugging Face
- Offers local, self-hosted, and managed serverless deployment options
Where it doesn't
- Team pricing starts at $250/month before usage-based charges
- Enterprise pricing is custom rather than publicly listed
- Some Cloud limits, including maximum dimensions, depend on quotas
Our verdict on Chroma
Chroma is an open-source database and search infrastructure for AI applications. It stores documents, embeddings, and metadata for workloads such as agentic search, code search, and retrieval-augmented applications. Teams can run it locally, self-host it with persistent storage, or use Chroma Cloud as a managed serverless service. Its multimodal retrieval supports text, images, and audio, making it a fit for AI teams building retrieval systems across more than one content type.
Pricing is split across three plans. Starter costs $0 per month and includes 10 databases, 10 team members, Community Slack, and free credits, with usage-based charges applying. Team costs $250 per month and adds 100 databases, 30 team members, Slack support, SOC II, and volume-based discounts; usage-based charges still apply. Enterprise includes custom pricing, unlimited databases, unlimited team members, dedicated support, single-tenant clusters, and BYOC clusters. The paid entry point makes Chroma easier to evaluate than to budget for at larger usage levels, where both plan fees and usage charges matter.
The search feature set is unusually wide for teams that need several retrieval methods in one system. Chroma supports dense vector similarity search, sparse search using BM25 or SPLADE, hybrid ranking, metadata filtering, faceted search, full-text search, regex search, and document and metadata storage. Collection forking supports dataset versioning and rollouts, while command-line tools support operational workflows. Integrations include OpenAI, Cohere, Hugging Face, Sentence Transformers, Google Generative AI, Jina AI, Mistral, and Together AI. Choose Chroma for multimodal or mixed retrieval requirements and varied AI integrations; teams seeking a lower-cost paid plan may prefer an alternative.
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Chroma pricing
All 3 Chroma plans and prices →
Chroma fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $250/mo |
| Deployment | Both |
| Hybrid search | Yes |
| Metadata filtering | Yes |
| Sparse vectors | Yes |
| Maximum dimensions | 4096 dimensions |
| Index types | VectorIndex, SparseVectorIndex, FtsIndex, StringInvertedIndex, IntInvertedIndex, FloatInvertedIndex, BoolInvertedIndex |
| SDK languages | Python, TypeScript, Rust, Kotlin, Swift |
| Deployment | Cloud, Self-hosted |
| Platforms | Web, Windows, macOS, Linux, iOS, Android |
| Compliance & security | SOC 2 |
| Support | Email, Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 18 integrations: OpenAI, Google Gemini, Cohere, Baseten, Hugging Face, Instructor … See all → |
| Pricing | Free plan (source) |
| Website | trychroma.com |
| Facts checked | 22 Sep 2026 |
Chroma integrations
Chroma lists 18 integrations on its own site.
- OpenAI
- Google Gemini
- Cohere
- Baseten
- Hugging Face
- Instructor
- Hugging Face Embedding Server
- Jina AI
- Roboflow
- Ollama Embeddings
- Cloudflare Workers AI
- Together AI
- Mistral
- Morph
- DeepEval
- LangChain
- LlamaIndex
- Braintrust
Alternatives to Chroma
- ElasticsearchA broad hybrid-search platform for teams adding vectors to mature analytics stacks.9.3
- Vertex AI Vector SearchA managed Google Cloud option for teams building dense, sparse, and hybrid search.9.2
- VikingDBA cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval.9.1
Also Ranked In
Chroma is ranked in 6 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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