weaviate
weaviate is Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of .... It is ranked #2437 on the AI Radar, in RAG & memory, first seen 34 days ago and shared in 2 posts (89.9k views).
GitHub - weaviate/weaviate: Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation…
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weaviate in numbers
- Rank on the AI Radar: #2437 of 10412
- Shared in 2 posts by 1 account: @RoundtableSpace
- 89.9k views on those posts
- First seen 34 days ago, last shared 23 days ago
- Pricing seen by AGK Intelligence: open source
- Market: RAG & memory
FAQ
What is weaviate?
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of ... It was first shared on X 34 days ago and is ranked #2437 on the AI Radar.
Is weaviate free?
It is open source.
Who shared weaviate?
1 account on X, including @RoundtableSpace, in 2 posts totalling 89.9k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.5k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:50 UTC. Full method.