# Chroma: what AI models say (September 2026)

Source: Memetik Index, https://www.memetik.ai/vendors/chroma
Website: https://www.trychroma.com

Chroma was named in 24 of 50 AI answers across 1 category. Best position: Vector databases, 48% answer share, ranked #6, named first in 4%.

## What Chroma is

Chroma is open-source search infrastructure for developers and organisations building AI search systems. It provides vector, full-text, regex and metadata search. It can run on Chroma Cloud or be deployed on an organisation’s own infrastructure.

Chroma supports sparse vector search, semantic similarity search, lexical search and filtering. It uses object storage with automatic query-aware data tiering and caching to manage search data and queries.

Pricing: Chroma Cloud has usage-based pricing with a $0/month Starter plan, a $250/month Team plan plus usage, and custom Enterprise pricing.
(From Chroma's own website, read 2026-09-02.)

## By category

| Category | Rank | Answer share | Named first | Models |
|---|---|---|---|---|
| Vector databases (https://www.memetik.ai/index/vector-databases) | #6 of 16 | 48% | 4% | ChatGPT, GPT-5.6 Luna, Claude Opus 5, Claude, Claude Fable 5, Gemini, Gemini 3.5 Flash, Perplexity, Sonar Reasoning Pro |

## What the models said

> "Choose Chroma if you are still iterating locally and want the fastest developer setup."
> — Perplexity, Vector databases

> "The best vector databases for RAG are Chroma and pgvector for small-scale projects, Qdrant and Milvus for self-hosted production, and Pinecone for fully managed deployments."
> — Claude, Vector databases

> "The main contenders right now are pgvector, Pinecone, Qdrant, Weaviate, Milvus, Chroma, and LanceDB, plus platforms like Redis, Elasticsearch, and Vespa."
> — Claude Fable 5, Vector databases