© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Vector database for AI applications. Powers semantic search and RAG.
Founded by: Edo Liberty
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Pinecone ranks #5 in AI Infrastructure for HN discussion share (out of 70 tracked with 4.4% of HN discussion), with 3% positive developer sentiment (31 HN comments analyzed), with 1,900,131 npm downloads in 30 days, with 1,186,325 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/pinecone?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
Vector database for AI applications. Powers semantic search and RAG.
Estimated Company Size
51 - 100 employees
Website
pinecone.ioFounded
2019
Description
Pinecone is the leading vector database for AI. Powers semantic search, RAG, and recommendation systems. Used by thousands of companies. Raised $100M Series B.
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.
Package download volume indicates real-world adoption and integration into production projects.
A managed vector database designed for AI applications, enabling efficient storage, indexing, and search of high-dimensional vectors for semantic search, RAG, and recommendation systems.
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