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Chroma

Chroma provides open-source search infrastructure for AI, supporting vector, full-text, regex, and metadata search.

Venture Funded$25MSeries AAmplify PartnersFirst Round Capital
vector searchAI infrastructurescalable databasesecure data storage
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About

The vendor describes Chroma as fast, serverless, and scalable search infrastructure built on object storage. It supports sparse vector search (BM25, SPLADE), vector search for semantic similarity, full-text search (trigram and regex), and metadata search for filtering and faceted search. Chroma offers features like forking for dataset versioning, A/B testing, and roll-outs, along with command-line tools for development. The page states it is trusted by millions of developers and is open-source under Apache 2.0. Chroma is designed for low latency search over billions of multi-tenant indexes and is built on object storage with automatic data tiering, which the vendor claims makes it up to 10x cheaper. It is designed to scale with data and traffic without manual tuning and offers serverless pricing. For enterprise use, Chroma supports BYOC in a customer's VPC, multi-cloud/multi-region replication, and point-in-time-recovery.

Read from trychroma.com on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data
59/100 · Established
Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2021 · Series A

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Enterprise Use Cases

Semantic search for enterprise knowledge bases
Recommendation engines
Fraud detection with vector embeddings
Customer support AI
Personalized marketing
AI-powered document retrieval

Integrations

AWSAzureGoogle CloudKubernetesDockerLangChainPineconeOpenAI

How Chroma compares

ToolReadinessPricingDeploymentComplianceIntegrations
Chroma59 · EstablishedFreemiumCloud, Self-Hosted8
MilvusNot scoredOpen SourceCloud, On-Premise, Hybrid, Self-Hosted8
ZillizNot scoredEnterpriseCloud, On-Premise, Hybrid, Self-Hosted7
Elasticsearch Vector67 · StrongEnterpriseCloud, On-Premise, Hybrid8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Chroma used for?

Chroma is chroma provides open-source search infrastructure for AI, supporting vector, full-text, regex, and metadata search. It is commonly used for semantic search for enterprise knowledge bases, recommendation engines, fraud detection with vector embeddings, and customer support ai.

Is Chroma free, and how is it priced?

Chroma offers a free tier, with paid plans that add capacity and features.

How can Chroma be deployed?

Chroma supports Cloud and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Chroma integrate with?

Chroma documents 8 integrations, including AWS, Azure, Google Cloud, Kubernetes, Docker, and LangChain.

When was Chroma founded?

Chroma was founded in 2021 and has raised $25M in funding.

Is Chroma enterprise-ready?

Based on cataloged data, Chroma has an Enterprise Readiness score of 59/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingFreemium
DeploymentCloud, Self-Hosted
Founded2021
Funding$25M
CategoryData & MLOps

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