6smarketersSoftware
List your software
Home/AI & Emerging/Vector Databases/Chroma

Chroma

Vector Databases

Visit websiteCompare
★★★★☆ 4.5 / 5 on G2 · 4.5 on Capterra (20+ G2 reviews)
4.5 / 5
G2 rating, 20+ reviews [source]
Open source
Lightweight [source]
Developer
Easy start [source]
Embeddings
Database [source]

Quick facts

CategoryOpen source embeddings DB
VendorChroma
Starts atOpen source; cloud
Best forLightweight embeddings database
DeploymentEmbedded, self host, cloud
Free planYes (open source)
IntegrationsLangChain, LlamaIndex
G2 rating4.5 / 5
Capterra rating4.5 / 5

What is Chroma?

Chroma is a lightweight, open source embeddings database popular with developers for building AI apps quickly, suited to developers wanting a simple, easy to start vector store for prototyping and apps. Designed to be simple and developer friendly, it lets you store and query embeddings with minimal setup (it can run embedded in your application), integrates tightly with AI frameworks (LangChain, LlamaIndex), and is open source, making it a favourite for quickly building RAG and AI prototypes and applications. While lighter weight than large scale databases, Chroma's simplicity and developer experience make it a leading choice for getting started and for many applications. For a lightweight embeddings database, Chroma is a leading choice.

Chroma's distinction is being lightweight, simple and developer friendly for quick AI app building. It prioritises ease and a great developer experience, running with minimal setup (even embedded), tightly integrated with AI frameworks, which heavier, more complex databases do not match for simplicity and speed of getting started, at the cost of the massive scale of larger databases. That lightweight, simple, developer first nature sets it apart.

Chroma at a glanceChroma is a lightweight, open source embeddings database [Chroma]. It holds about a 4.5 out of 5 rating on G2 and 4.5 on Capterra, a leading lightweight embeddings database for developers.

Who Chroma is best for

Chroma is best for developers building AI and RAG applications and prototypes that want a simple, lightweight, easy to start embeddings database with great developer experience and tight AI framework integration. It suits a lightweight embeddings database. It is a weaker fit for those needing massive scale, high performance production vector search, where Milvus, Pinecone, Qdrant or Weaviate fit, or vectors in their existing database, where pgvector fits.

Key features

The core strengths are a lightweight, simple embeddings database, minimal setup (can run embedded), tight AI framework integration (LangChain, LlamaIndex), a great developer experience, open source, and a cloud option. Chroma offers simple, developer friendly vector storage. Its lightweight, simple, developer first nature is its defining advantage.

Chroma pricing

Chroma is open source and free to use (self hosted or embedded, you pay for your own infrastructure if any), with a managed Chroma Cloud (usage based) for those wanting hosting, so getting started is free and easy, with a cloud option as you grow. So pricing is free open source or usage based cloud. Confirm details on the Chroma site.

Integrations and ecosystem

Chroma integrates tightly with AI frameworks (LangChain, LlamaIndex) and embedding providers, with a developer friendly API and a strong community. Its tight AI framework integration and developer experience, which make it fast to build with, are major strengths for quick AI development.

Chroma and developer experience

Being lightweight, simple and developer friendly for quick AI app building is the signature strength: Chroma prioritises ease and developer experience, running with minimal setup (even embedded) and tightly integrated with AI frameworks, which heavier databases do not match for simplicity and speed of starting, at the cost of massive scale. For a lightweight embeddings database, this is the main reason to choose Chroma.

Ease of use and support

Chroma is well rated for simplicity, ease of starting, developer experience and AI framework integration, a favourite for prototyping and building AI apps quickly, with community support, though reviewers note it is lighter weight and less suited to the largest scale production workloads than heavier databases. Its reviews praise ease, with scale limits the main consideration.

Is Chroma worth it?

For developers building AI and RAG apps and prototypes wanting a simple, lightweight, easy embeddings database with great developer experience, Chroma is an excellent choice. The main caution is that it is lighter weight for massive scale, so large scale production suits Milvus, Pinecone, Qdrant or Weaviate, and vectors in your existing database pgvector, but for a lightweight embeddings database Chroma leads.

Pricing

Open source

$0
self host / embedded
  • Lightweight vector store
  • Easy start
  • Developers

Chroma Cloud

Usage
by usage
  • Managed hosting
  • Scale as you grow
  • Teams

Pros and cons

Pros

  • Lightweight and simple
  • Minimal setup (can embed)
  • Great developer experience
  • Tight AI framework integration
  • Open source and free to start

Cons

  • Lighter weight for massive scale
  • Less for largest production workloads
  • Newer project
  • Scale limits vs heavy DBs

Chroma alternatives

These vector databases tools come up most often against Chroma.

Pinecone

Managed vector database for AI applications

Weaviate

Open-source AI-native vector database

Milvus

Open-source vector database for scale

Chroma FAQ

What is Chroma used for?
Chroma is used as a lightweight, open source embeddings database: storing and querying vector embeddings with minimal setup (it can run embedded in your app) and tight AI framework integration, to build RAG and AI applications and prototypes quickly, popular with developers for its simplicity.
Is Chroma free?
Yes. Chroma is open source and free to use (self hosted or embedded), with a managed Chroma Cloud (usage based) for those wanting hosting, so you can start free and easily and use the cloud as you grow.
Chroma vs Pinecone, which is better?
Chroma is a lightweight, open source, developer friendly embeddings database great for starting and building quickly, while Pinecone is a fully managed, scalable service for production. Chroma suits prototyping and simplicity; Pinecone suits managed, large scale production.
Is Chroma good for production?
Chroma is excellent for prototyping and many applications, and has a managed cloud for scaling, but for the largest scale, high performance production workloads, heavier databases like Milvus, Pinecone, Qdrant or Weaviate may be more suitable. Many teams start with Chroma and scale as needed.
Does Chroma integrate with LangChain?
Yes. Chroma integrates tightly with AI frameworks like LangChain and LlamaIndex, which is a key reason it is popular for building RAG and AI applications quickly, letting developers plug in a simple vector store with minimal effort.
Is Chroma easy to use?
Yes. Chroma is designed to be lightweight, simple and developer friendly, running with minimal setup (even embedded in your application) and integrating tightly with AI frameworks, which makes it one of the easiest ways to get started with a vector store for AI apps.

External links