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Open-source vector database. Embeddings database for AI applications.
Founded by: Jeff Huber, Anton Troynikov, Nate Murray
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Chroma ranks #6 in AI Infrastructure for HN discussion share (out of 70 tracked with 4.1% of HN discussion), with 21% positive developer sentiment (29 HN comments analyzed), with 8 commits/week (declining), with 694,112 npm downloads in 30 days, with 11,754,058 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/chroma?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Open-source vector database. Embeddings database for AI applications.
Estimated Company Size
11 - 50 employees
Website
chroma.devFounded
2021
Description
Chroma is an open-source vector database. Simple API for storing and querying embeddings. Popular for RAG applications.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Total stars indicate project popularity and developer adoption.
Forks indicate active developer engagement and contribution interest.
Weekly commit activity indicates ongoing development momentum and team productivity.
Package download volume indicates real-world adoption and integration into production projects.
An open-source vector database for storing and querying embeddings, essential for building AI applications like RAG.
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