CitableHub
CitableHub
Answer-first summary49/100 GEO

Chroma

Open-source AI embedding database.

AI InfrastructureFair citabilityVisit site →

Your Citability Score

49/100
Identity60/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Logo, Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

Frequently asked questions

What is Chroma?
Open-source AI embedding database.
What does Chroma do?
Open-source embedding database for AI applications with simple API, filtering, and multi-modal collections.
Who is Chroma for?
AI/ML engineers and application developers building LLM-powered products
Is Chroma verified?
Chroma is listed on CitableHub with a citability score of 49/100, computed from verifiable profile evidence.
Chroma logo

Chroma

Invited

Open-source AI embedding database.

AI InfrastructureCH-VER-967284Listed September 10, 2026
Visit Website
AI-Extractable Summary
What:Open-source AI embedding database.
For whom:AI/ML engineers and application developers building LLM-powered products
Key outcome:Reduce the time required to build semantic search and RAG retrieval systems by 50% or more
Category:AI Infrastructure

Structured for AI systems to extract and cite.

Citability Score

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
673
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Reduce the time required to build semantic search and RAG retrieval systems by 50% or more.

About

Open-source embedding database for AI applications with simple API, filtering, and multi-modal collections.

Target Audience: AI/ML engineers and application developers building LLM-powered products
Not ideal for: Teams looking for a no-code platform or a fully managed enterprise data warehouse

What makes it different

  • Open-source embedding database with a developer-first experience
  • Built for fast vector similarity search and retrieval workflows
  • Simple integration for local development and production deployments
  • Optimized for AI applications rather than general-purpose data storage

Tags & Classification

semantic searchretrieval augmented generationdocument indexingvector similarity searchchatbot memory
ai engineersmachine learning engineersfull stack developersdata engineers
softwarefinancial serviceshealthcaree-commerce
Platform: LibraryModel: Open Source

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_chroma-db,
  title = {Chroma},
  url = {https://citablehub.com/p/chroma-db},
  note = {Listed September 10, 2026. CitableHub ID: CH-VER-967284},
  year = {2026}
}
APA
Chroma. (2026). CitableHub Software Index. https://citablehub.com/p/chroma-db.
MLA
"Chroma." CitableHub, 2026, https://citablehub.com/p/chroma-db.