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Chroma

Freemium
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Open-source search infrastructure for AI supporting vector, full-text, regex, and metadata search on serverless object storage.

Site Internet :https://trychroma.com/
Ajouté :13 juil. 2026
Visiteurs mensuels :
220.7K
Réseaux sociaux et e-mail :
vector searchAI searchopen-sourceserverlessembeddingsfull-text search
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Informations sur l’outil

Qu'est-ce que Chroma ?

Chroma is open-source search infrastructure for AI that provides fast, serverless, and scalable search for AI applications. It enables vector, sparse, full-text, regex, and metadata queries over large multi-tenant indexes built on object storage.

Fonctionnalités principales

  • Sparse vector search

    Lexical search using BM25 and SPLADE embeddings.

  • Vector search

    Semantic similarity search over embeddings.

  • Full-text search

    Trigram and regex search capabilities.

  • Metadata search

    Filtering and faceted search on metadata.

  • Forking

    Dataset versioning, A/B testing, and roll-outs.

  • CLI

    Command-line tools for development.

  • Serverless object-storage architecture

    Built on object storage with automatic query-aware data tiering and caching for low-latency multi-tenant indexes, supporting up to billions of records with auto-scaling and zero ops.

  • Enterprise and BYOC

    BYOC in your VPC, multi-cloud/multi-region replication, point-in-time recovery, and SOC 2 Type II compliance.

Cas d'utilisation

  • #1

    AI application search

    Build agent search and AI apps that query knowledge bases and multi-tenant indexes.

  • #2

    Large-scale knowledge base querying

    Fast queries over billions of multi-tenant indexes and large knowledge bases.

Idéal pour :DevelopersAI application buildersEnterprises needing compliant search infrastructure

Plans tarifaires

Start free on Cloud. Open-source under Apache 2.0. Serverless pricing. Enterprise options including BYOC available via contact.

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Foire aux questions

What is Chroma?
Chroma is open-source search infrastructure for AI supporting vector, full-text, regex, and metadata search on serverless object storage.
What types of search does Chroma support?
Chroma supports sparse vector search (lexical search using BM25 and SPLADE embeddings), vector search (semantic similarity), full-text search (trigram and regex), and metadata search (filtering and faceted search).
Is Chroma free to use?
Yes. You can start free on Cloud. Chroma is open-source under Apache 2.0 with serverless pricing. Enterprise options including BYOC are available via contact.
What platforms and languages does Chroma support?
Chroma runs on Cloud and Local, with support for Python, TypeScript, and Rust, and is built on object storage such as S3/GCS.
Does Chroma offer enterprise features?
Yes. Enterprise options include BYOC in your VPC, multi-cloud/multi-region replication, point-in-time recovery, and SOC 2 Type II compliance.
How can I get started with Chroma?
Start free on Cloud or get started locally. A CLI and SDKs for Python, TypeScript, and Rust are available, and you can contact the team via the talk-with-us page.

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Informations sur l’outil

Modèle tarifaireFreemium
CatégorieAnalyse de données
Tags
vector searchAI searchopen-sourceserverlessembeddingsfull-text search
LangueAnglais
Dernière mise à jour16 juil. 2026
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