© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Embedding models optimized for RAG. High-quality semantic search.
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Voyage AI ranks #21 in Foundation Models for HN discussion share (out of 33 tracked with 0.1% of HN discussion), with 326,018 npm downloads in 30 days, with 1,452,707 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/voyage-ai?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
Embedding models optimized for RAG. High-quality semantic search.
Estimated Company Size
1 - 10 employees
Website
voyageai.comFounded
2023
Description
Voyage AI builds embedding models optimized for RAG. High-quality semantic search capabilities. Popular with developers.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Total stars indicate project popularity and developer adoption.
Forks indicate active developer engagement and contribution interest.
Package download volume indicates real-world adoption and integration into production projects.
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Package downloads and ecosystem metrics — 30-day window
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