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Chroma

Embedding database purpose-built for LLM applications

Chroma is a lightweight, developer-friendly embedding database designed specifically for LLM and RAG applications. It simplifies vector storage and retrieval with a minimal API, ideal for rapid prototyping.

Pricing fromFree (open-source), Chroma Cloud custom pricing
Best forTeams rapidly prototyping RAG systems and LLM applications
Websitewww.trychroma.com

Strengths and trade-offs

  • Exceptionally simple API, extremely fast onboarding
  • In-memory or persistent storage options for flexibility
  • Limited filtering and advanced query capabilities
  • Production scaling requires migration to more robust solutions

Appears in

Alternatives to Chroma

Pinecone
Managed vector database for semantic search at scale
#1 in Top 10 AI Search & Retrieval Engines95.0
Weaviate
Open-source vector search platform with GraphQL API
#2 in Top 10 AI Search & Retrieval Engines92.7
Milvus
Open-source vector database engineered for scalable similarity search
#3 in Top 10 AI Search & Retrieval Engines90.3
OpenSearch
Open-source search and analytics engine with vector capabilities
#4 in Top 10 AI Search & Retrieval Engines88.0
Qdrant
Vector search engine optimised for extended filtering and production workloads
#5 in Top 10 AI Search & Retrieval Engines85.7
Elasticsearch#6 in Top 10 AI Search & Retrieval Engines83.3

Questions about Chroma

How much does Chroma cost?

Lister lists Chroma's pricing as: Free (open-source), Chroma Cloud custom pricing.

Is Chroma free?

Yes. Its pricing reads: Free (open-source), Chroma Cloud custom pricing.

Who is Chroma best for?

Chroma is best for teams rapidly prototyping RAG systems and LLM applications.

Where does Chroma rank?

Chroma is ranked #7 in Top 10 AI Search & Retrieval Engines (Lister Score 81.0).

What are the best alternatives to Chroma?

The closest alternatives on Lister are Pinecone (#1 in Top 10 AI Search & Retrieval Engines), Weaviate (#2 in Top 10 AI Search & Retrieval Engines) and Milvus (#3 in Top 10 AI Search & Retrieval Engines).

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