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Chroma

Open-source embedding database for AI apps

coding#vector-database#open-source#rag#embeddings
Free plan Free trial Claimed API Self-hosted Teams
Toolglade’s take

Chroma is the friendliest on-ramp to retrieval: for prototyping RAG or running something small, its embedded mode is genuinely delightful and free. The serverless Chroma Cloud with pure usage billing is compelling for bursty or small workloads that would otherwise pay for idle clusters. The honest caveat is that Chroma is younger and lighter on advanced production features (complex filtering, mature multi-tenancy) than Qdrant or Milvus, so very large or demanding deployments should evaluate carefully. Great for getting started; validate at scale.

About Chroma

Chroma is an open-source embedding database focused on developer experience, letting you add retrieval to LLM apps with minimal setup. It runs embedded or self-hosted for free and offers a serverless Chroma Cloud billed purely on usage. It is especially popular for prototyping RAG and local workflows.

Chroma is an open-source embedding database built to make retrieval simple for developers. Its defining trait is ergonomics: you can run it in-process with a few lines of Python or JavaScript, store documents and their embeddings, and query by similarity without standing up any infrastructure. This makes it a favorite for prototyping RAG and for local and notebook workflows, while still scaling into server deployments. Chroma handles embedding, storage, and querying with a clean API, integrates natively with LangChain and LlamaIndex, and can call embedding providers or use local models. It is fully open source under Apache 2.0 and free to self-host, whether embedded, single-node, or in its distributed configuration. The project's emphasis is on developer experience and getting from idea to working retrieval quickly. Chroma Cloud, a fully managed serverless offering backed by a Rust engine on object storage, reached general availability in August 2025. It bills purely on usage (writes, storage, queries) with no always-on cluster fee, which the company argues makes it substantially cheaper than provisioned managed databases for many workloads. Chroma competes with Pinecone, Weaviate, Qdrant, and Milvus, differentiating on simplicity and a serverless cost model.

TL;DR

Chroma is an open-source embedding database designed for developer simplicity, letting you add retrieval to LLM apps with minimal setup. It runs embedded or self-hosted for free and offers a serverless Chroma Cloud (GA since August 2025) billed purely on usage. It is a favorite for prototyping RAG and local workflows. It is lighter on advanced production features than older rivals, so validate at scale.

Company overview

Chroma is developed by the company behind trychroma.com, founded to make retrieval the easiest part of building AI applications. It has emphasized open-source community and developer experience from the start.

Chroma raised an $18 million seed round in April 2023, led by Quiet Capital at an approximately $75 million valuation. Chroma Cloud, its managed serverless offering, reached general availability in August 2025.

Product features

Chroma provides an embedding database with a clean API across Python and JavaScript, supporting in-process, persistent, and server deployments. It can embed documents automatically via configured providers, store metadata, and run similarity queries with filtering.

Chroma Cloud adds a fully managed, serverless experience backed by a Rust engine (Chroma Distributed) on object storage, with usage-based billing and no always-on cluster fee. Native integrations with LangChain and LlamaIndex make it easy to adopt in existing stacks.

Target market

Developers and small-to-mid teams building RAG and semantic search who prioritize ease of use, fast prototyping, and a serverless cost model.

Buyer personas

End users

Developers and data scientists prototyping and shipping retrieval features.

Buyers

Engineering leads at startups and small teams choosing a simple retrieval layer.

Key influencers

RAG tutorial authors, LangChain/LlamaIndex communities, and DX-focused engineers.

Ideal customer profile

Developer-led teams that value simplicity and want to move from prototype to small/mid production without infrastructure overhead.

Funding & performance

Raised an $18 million seed round in April 2023 led by Quiet Capital at an approximately $75 million valuation. Verify with the vendor.

Pros & cons

Pros

  • Open source under Apache 2.0, free to self-host
  • Exceptionally easy to get started, minimal setup
  • Embedded/in-process mode ideal for prototyping
  • Native LangChain and LlamaIndex integration
  • Serverless Chroma Cloud bills purely on usage
  • No always-on cluster fee in the cloud model
  • Great developer experience and clean API

Cons

  • Younger and lighter on advanced production features
  • Filtering and multi-tenancy less mature than rivals
  • Distributed scaling story is newer
  • Fewer enterprise references at very large scale
  • Cloud usage billing still needs careful modeling
  • Ecosystem smaller than incumbent databases

Pricing plans

Open Source
$0
  • Apache 2.0 license
  • Embedded, single-node, or distributed
  • Full embedding database
  • Community support
Chroma Cloud
$0 base + usage ($5 starter credits) / month
  • Serverless, no always-on fee
  • Usage-based writes, storage, queries
  • Managed Rust engine on object storage
  • Scales to zero when idle
Enterprise
Custom / month
  • Higher limits and support
  • Security and compliance
  • Custom terms

Key features

API
Team collaboration
Self-hosted
Integrations
LangChain, LlamaIndex, OpenAI, Hugging Face, Python, JavaScript
Input types
text, vectors
Output types
search-results
Best For
Prototyping RAG, Embedded retrieval, Small to mid workloads, Developer experience

Compare key features

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Feature
Chroma
Pinecone
Weaviate
Pricing
Freemium
Freemium
Freemium
Free plan
Yes
Yes
Yes
Free trial
Yes
No
Yes
API
Yes
Yes
Yes
Self-hosted
Yes
No
Yes
Team support
Yes
Yes
Yes

Frequently asked questions

Is Chroma free?+

Yes. Chroma is open source under Apache 2.0 and free to self-host in embedded, single-node, or distributed modes. Chroma Cloud is a paid, usage-based managed option.

What makes Chroma easy to use?+

You can run it in-process with a few lines of Python or JavaScript, add documents (which it can embed for you), and query by similarity, all without standing up infrastructure, which is ideal for prototyping.

What is Chroma Cloud?+

Chroma Cloud is a fully managed, serverless version backed by a Rust engine on object storage. It reached general availability in August 2025 and bills purely on usage with no always-on cluster fee.

Is Chroma good for large production workloads?+

Chroma is excellent for prototyping and small to mid workloads. For very large or demanding deployments, evaluate its filtering, multi-tenancy, and scaling against more mature engines like Qdrant or Milvus.

Which frameworks integrate with Chroma?+

Chroma integrates natively with LangChain and LlamaIndex and works with common embedding providers, making it easy to slot into existing RAG stacks.

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