Qdrant is the vectordb that ChatGPT and Grok use (e.g. when you add docs to a custom GPT or tweets in Grok) https://twitter.com/simonw/status/1722011967886688696
Interesting they both do. Does Qdrant look like a winning horse then? Was about to use Weaviate for a project today and this gives me pause. Anyone have some strong opinions? pg_vector also been on my radar recently. Qdrant vs Weaviate I know is partially a rust vs go topic.
(disclosure: I work at Weaviate)
I think it depends on your use-case. From what I've seen, Weaviate and Qdrant have similar offerings in terms of features, open-sourceness, flexible deployment, and integrations with other services. Weaviate does provide certain things easier to set up, like built-in hybrid search, modules for integrations, vectorization, etc. (so it's just a one-line config change), and it's all custom-built from the ground up. But Qdrant gets a lot of support from the Rust community and has a slightly more flexible free cloud tier.
Also, don't believe everything posted on the internet ;)