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Chroma
Chroma

Open-source search infrastructure for AI with vector, full-text, regex, and metadata search.

Chroma review (2026) — features, pricing & verdict

Published May 4, 2026 · Updated May 4, 2026
8.2 Strong out of 10
Overall
8.2
out of 10
Value for money 8.5
Ease of use 8.1
Features 8.0
Support & docs 8.4
Reliability 8.2

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What is Chroma?

Chroma is an open-source, AI-native search database supporting vector, full-text, regex, and metadata search. Built on object storage with automatic data tiering, it offers serverless, scalable infrastructure trusted by millions of developers. It provides both a self-hosted open-source option and a managed cloud service with SOC 2 Type II compliance.

The company was founded in 2022 and headquartered in US. Backed by $20M in disclosed funding with the most recent round being a seed.

Key features

  • Sparse vector search (BM25, SPLADE)
  • Dense vector semantic similarity search
  • Full-text trigram and regex search
  • Metadata filtering and faceted search
  • Dataset forking, versioning, and A/B testing
  • CLI tools for development
  • Automatic query-aware data tiering and caching
  • Multi-tenant indexes at billion scale

Best use cases

  • Retrieval-augmented generation (RAG) for LLM applications
  • Semantic search over large document corpora
  • AI agent knowledge bases
  • Hybrid search combining vector and keyword matching
  • A/B testing search configurations with dataset forking
  • Enterprise AI application search infrastructure

What works

  • Up to 10x cheaper than legacy search systems due to object storage architecture
  • Zero engineering ops with auto-scaling and serverless pricing
  • Supports multiple search modalities (vector, full-text, regex, metadata) in one system
  • Open-source Apache 2.0 with 27k GitHub stars and 15M+ monthly downloads
  • Low-latency warm queries at 20ms p50 on 100k vectors

What doesn't

  • Cold query latency can reach 650ms-1.5s depending on percentile
  • Records per collection capped at 5M
  • Concurrent reads limited to 10 per collection

Pricing

Chroma uses a open-source model, includes a free plan, starts free with paid upgrades.

Key integrations

LangChain, OpenAI, Amazon S3, Google Cloud Storage, Python, TypeScript, Rust.

Verdict

Chroma is worth shortlisting. The fundamentals are solid — verified data, active development, real users — and the gaps in our cons list are typical for a company at this stage.

This review was generated from verified directory data on May 2026 and reflects the publicly available information at the time of writing. NeuronFeed does not receive compensation from Chroma for this listing.

Frequently asked questions

How much does Chroma cost?

Chroma starts free. See the Pricing section above for the full breakdown.

Is Chroma a good choice in 2026?

Based on our verified directory data, Chroma scores 65/100, with $20M in disclosed funding. That puts it in the credible middle band for its category.

What are Chroma's biggest weaknesses?

Per our review: Cold query latency can reach 650ms-1.5s depending on percentile.

Alternatives to Chroma

Contextual paths to related AI startups, deals and rankings.

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