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C
AI infrastructure · Tool
Chroma
ResearchedChroma is an open-source AI search infrastructure platform offering serverless vector, full-text, regex, and metadata search. Chroma Cloud provides SOC 2 Type II compliance, CMEK, BYOC, SDKs for TypeScript/Python/Rust, and scalable multi-tenant support.
Official site snapshots
Visit live site See the official site at a glance
Read-only public captures of Chroma’s homepage. Screenshots are dated, never live embeds, and open full-screen.
1 earlier capture
In one minute
Start here for the decision-making essentials: what Chroma does, who it is for, how it is accessed, and the first-party sources behind this profile.
PricingCurrent signal
Usage-based pricing: $2.50/GiB written, $0.33/GiB per month storage, $0.0075/TiB queried,
Platforms
Chroma CloudDeno compatible
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary
Best suited to
Source-backed fit Teams building AI applications requiring vector and full-text search Multi-tenant SaaS platforms needing isolated collections at scale Enterprises with strict security, compliance, and data residency requirements Developers integrating AI search using TypeScript, Python, or Rust SDKs
Decision support
6 sourced answersCommon questions and adoption checks
Short answers to the questions buyers and builders commonly ask about Chroma. Each answer cites the shared ledger below, where every source is listed once.
01What does Chroma say it can do?
Supports vector, full-text, regex, and metadata search · Open-source search infrastructure for AI providing fast, scalable, serverless vector, full · Native support for SPLADE sparse vector keyword search combined with dense vectors in hybr · Single database designed to scale to hundreds of thousands of collections for multi-tenant
Fast, serverless, and scalable infrastructure supporting vector, full-text, regex, and metadata search.
02What use cases does Chroma describe?
Multi-tenant search across developer documentation for tens of thousands of sites · Cloud service for AI applications, used by AI developers · Documentation search · Code review agents
Mintlify powers developer documentation for tens of thousands of sites, including enterprise customers like Coinbase, PayPal, and Anthropic.
03What pricing information is available for Chroma?
Usage-based pricing: $2.50/GiB written, $0.33/GiB per month storage, $0.0075/TiB queried,
Write per GiB written $2.50 Storage per GiB per month $0.33 Query per TiB queried $0.0075 Network per GiB returned $0.09
Ledger citation[11] trychroma.com/pricing
04Does Chroma document API access?
$regex and $not_regex operators applied to the where_document field in .query or .get · GroupBy is implemented via the Chroma Search API, which supports MinK and MaxK aggregation
To run a regex search, apply the $regex or $not_regex operator on the where_document field in a .query or .get
05What integrations does Chroma document?
Chroma Sync supports S3, GitHub, and Web · Package Search MCP · Compatible with hosted embedding providers like OpenAI or Voyage AI
March 2026 ○ Chroma Sync: S3, GitHub, and Web
06How can Chroma be deployed or accessed?
Serverless infrastructure built on object storage with automatic data tiering · EU Region Support · Chroma Cloud · Cloud-based service with operations experience on AWS, GCP, and Azure
Built on object storage and trusted by millions of developers.
Decision guide
AI infrastructureCapabilities and operating fit
This profile connects the jobs Chroma is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
- AI-powered developer documentation search across tens of thousands of sites
- Hybrid search combining SPLADE sparse vectors with dense vectors
- Cloud-based search infrastructure for AI applications
- Multi-tenant workloads scaling to hundreds of thousands of collections
- Multi-tenant search across developer documentation for tens of thousands of sites
- Cloud service for AI applications, used by AI developers
Topics mapped
Verified capabilities
- Supports vector, full-text, regex, and metadata search
- Open-source search infrastructure for AI providing fast, scalable, serverless vector, full
- Native support for SPLADE sparse vector keyword search combined with dense vectors in hybr
- Single database designed to scale to hundreds of thousands of collections for multi-tenant
- Built for high availability to eliminate oncall-causing outages
- P99 latency consistently bounded under 100ms with no spikes under load
- Developer cloud infrastructure
- Products include Database, Sync, Agent, Search, MCP, and Enterprise Package
Recorded integrations
Access signals
- Pricing model
- Usage-based pricing: $2.50/GiB written, $0.33/GiB per month storage, $0.0075/TiB queried,
- API
- Not publicly listed
- Source links
- 17 recorded
Source-backed
Updated July 22, 2026Verified facts
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Chroma - open-source search infrastructure for AI
Open-source under Apache 2.0 · Supports vector, full-text, regex, and metadata search · SOC 2 Type II compliant
Supports vector, full-text, regex, and metadata search
Open-source under Apache 2.0
SOC 2 Type II compliant
Serverless infrastructure built on object storage with automatic data tiering
Client SDKs available for TypeScript, Python, and Rust
View 32 more verified facts
Warm query p50 latency of 20ms at 384 dim over 100k vectors
Open-source search infrastructure for AI providing fast, scalable, serverless vector, full-text, and metadata search across terabytes of data
Usage-based pricing: $2.50/GiB written, $0.33/GiB per month storage, $0.0075/TiB queried, $0.09/GiB network
Chroma is an open-source product, and users can export their data if they decide to leave
Chroma Inc.
Chroma Sync supports S3, GitHub, and Web
Customer-Managed Encryption Keys
EU Region Support
Chroma Cloud
Package Search MCP
Native support for SPLADE sparse vector keyword search combined with dense vectors in hybrid search
Single database designed to scale to hundreds of thousands of collections for multi-tenant workloads
Built for high availability to eliminate oncall-causing outages
Multi-tenant search across developer documentation for tens of thousands of sites
P99 latency consistently bounded under 100ms with no spikes under load
Hands-on migration support via shared Slack channel, with direct CTO involvement
Developer cloud infrastructure
Cloud service for AI applications, used by AI developers
San Francisco, CA
Cloud-based service with operations experience on AWS, GCP, and Azure
Backend services in Python, Rust, or Go deployed on Kubernetes
Products include Database, Sync, Agent, Search, MCP, and Enterprise Package
Chroma builds the data and search infrastructure for AI
Independently assessed through a SOC 2 Type II examination
Hosted on AWS across multiple Availability Zones
Containerized architecture orchestrated with Amazon EKS
Production, staging, and development environments fully isolated in separate AWS accounts and networks
All customer data encrypted in transit and at rest using TLS/SSL, PKI, and AES
Single sign-on (SSO) with role-based access control, MFA required for all employee production and AWS access, and VPN required for remote production access
Chroma Inc.
2261 Market Street #4728, San Francisco, CA 94114
Practical capabilities
8 documented areasWhat it helps with
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
AI-powered developer documentation search across tens of thousands of sites
Hybrid search combining SPLADE sparse vectors with dense vectors
Cloud-based search infrastructure for AI applications
Multi-tenant workloads scaling to hundreds of thousands of collections
Multi-tenant search across developer documentation for tens of thousands of sites
Cloud service for AI applications, used by AI developers
Documentation search
Code review agents
Availability
Source checkedWhere it runs and where to get it
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
Usage-based pricing: $2.50/GiB written, $0.33/GiB per month storage, $0.0075/TiB queried, Open-source under Apache 2.0 · Chroma is an open-source product, and users can export their data if they decide to leave
Platforms
Client SDKs available for TypeScript, Python, and RustBackend services in Python, Rust, or Go deployed on KubernetesContainerized architecture orchestrated with Amazon EKSChroma CMEK is available on Google Cloud Platform (GCP) and Amazon Web Services (AWS)Chroma CloudGroupBy is available in the latest versions of Chroma's Python, JavaScript, and Rust SDKs.Deno compatibleChroma offers Chroma Cloud as its managed cloud product.
Adoption notes
DeploymentServerless infrastructure built on object storage with automatic data tiering · EU Region Support · Chroma Cloud · Cloud-based service with operations experience on AWS, GCP, and Azure
LicenseOpen-source under Apache 2.0 · Chroma is an open-source product, and users can export their data if they decide to leave
Model supportNot disclosed by source
Data controlSOC 2 Type II compliant · Customer-Managed Encryption Keys · Independently assessed through a SOC 2 Type II examination · All customer data encrypted in transit and at rest using TLS/SSL, PKI, and AES · Single sign-on (SSO) with role-based access control, MFA required for all employee product
Learning curveIntermediate
Primary use casesAI-powered developer documentation search across tens of thousands of sites, Hybrid search combining SPLADE sparse vectors with dense vectors, Cloud-based search infrastructure for AI applications, Multi-tenant workloads scaling to hundreds of thousands of collections, Multi-tenant search across developer documentation for tens of thousands of sites, Cloud service for AI applications, used by AI developers, Documentation search, Code review agents, Code search, Maintaining a separate search index per logical version of data such as code.
What to verify before adopting
Evolution and major updates
Research in progressChroma timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Scheduled for research
Building a reliable release history.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Dated event Short explanation Original source
Citation ledger
17 unique pagesRecorded sources
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
- 1trychroma.com/changelog 5 facts · 2 answers · 14 milestones · Official site
- 2trychroma.com 11 facts · 2 answers · Official site
- 3trychroma.com/careers/platform 6 facts · 3 answers · Official site
- 4trychroma.com/customers/mintlify-case-study 6 facts · 2 answers · Official site
- 5trychroma.com/changelog/js-client-v3 6 facts · 1 answer · Official site
- 6trychroma.com/security 6 facts · 1 answer · Security
- 7trychroma.com/updates/customers 6 facts · 1 answer · Official site
- 8trychroma.com/changelog/cmek 6 facts · Official site
- 9trychroma.com/changelog/regex 5 facts · 1 answer · Official site
- 10trychroma.com/changelog/forking 4 facts · 1 answer · Official site
- 11trychroma.com/pricing 3 facts · 2 answers · Pricing
- 12trychroma.com/changelog/groupby 3 facts · 1 answer · Official site
- 13trychroma.com/changelog/indexingstatus 3 facts · Official site
- 14trychroma.com/changelog/readlevel 3 facts · Official site
- 15trychroma.com/website-privacy 3 facts · Security
- 16trychroma.com/careers 1 fact · Official site
- 17trychroma.com/privacy 1 fact · Security
Research status76 substantive facts · 17 source pages · quality score 88/100
Connected directory
Semantic matchesExplore related solutions
These tools share a workflow, capability or audience with Chroma. They may complement it rather than replace it, and are not presented as integrations or endorsements.
