Chroma
Chroma (Chroma DB) is an open-source, AI-native vector database (embedding database) for building LLM, RAG, and semantic-search applications. It provides storage, indexing, and retrieval for vector embeddings with metadata filtering, full-text and regex search, and multi-modal retrieval across text, images, and audio. Chroma is Apache-2.0 licensed and self-hostable via a single server, and is also available as Chroma Cloud, a serverless, usage-based managed offering. Its HTTP/REST v2 API is organized around tenants, databases, collections, and the records (embeddings) inside each collection - add, upsert, update, get, query (similarity search), and delete - and is the same interface used by the Python, JavaScript/TypeScript, Rust, and other client libraries.
Chroma publishes 6 APIs on the APIs.io network, including Collections API, Databases API, Query API, and 3 more. Tagged areas include Vector Database, Vector Index, Vector Search, Vector Store, and Embeddings.
Chroma’s developer surface includes authentication, documentation, engineering blog, and 8 more developer resources.
Kin Score
APIs 6
Individual APIs this provider publishes, each with its own machine-readable definition.
Chroma Collections API
Named vector stores holding embeddings and metadata.
Chroma Databases API
Logical grouping of collections within a tenant.
Chroma Query API
Nearest-neighbor vector similarity search over a collection.
Chroma Records API
Embeddings (with documents, metadata, URIs) inside a collection.
Chroma System API
Server health, version, and pre-flight operational endpoints.
Chroma Tenants API
Top-level isolation boundary that owns databases.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Chroma Server API (v2)
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Chroma Db Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Chroma Db Finops
FINOPSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Source (apis.yml)
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