© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Open-source vector database. GraphQL and REST APIs for AI search.
Founded by: Bob van Luijt, Etienne Dilocker, Michaël van der Meer
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Weaviate ranks #11 in AI Infrastructure for HN discussion share (out of 70 tracked with 0.8% of HN discussion), with 50% positive developer sentiment (6 HN comments analyzed), with 74 commits/week (declining), with 1,939,540 npm downloads in 30 days, with 21,448,866 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/weaviate?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. GraphQL and REST APIs for AI search.
Estimated Company Size
11 - 50 employees
Website
weaviate.ioFounded
2019
Description
Weaviate is an open-source vector database. GraphQL API makes it developer-friendly. Popular for RAG and semantic search 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.
Read in-depth analysis and news about Weaviate on AI-Buzz.
Browse articles on AI-BuzzAn open-source, low-latency vector database that powers AI-native applications, offering GraphQL and REST APIs for semantic search and RAG.
A fully managed service for the Weaviate vector database, providing scalable and secure infrastructure for AI applications without operational overhead.
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