I need someone to help me with an issue that was previously resolved by cloudflare, and is happening again. I do have all the information that it needs, but is something that needs to be resolved.
Please do not ping community members for non-moderation reasons. Doing so will not solve your issue faster and will make people less likely to want to help you.
Are there any plans to increase the current dimension limit? OpenAI’s latest embedding model is over 3000, and while it’s possible to lower it, if you want more accuracy then it simply won’t be possible to use Vectorize
can the vectorize http api docs be updated? I basically had to try random things then give up and searched in this channel before i saw somebody with the correct format
Hi, are there plan to increase the topk limit of 20 with metadata filtering? With chunked data a limit of 20 is severely limiting, especially for paginated search experiences.
Hi, I am having issue in inserting vector with correct vector format, anyone else experiencing same issue, there is no error but it is returning null. Any idea
Hello, I'm wondering one thing before getting into cloudflare vectorize, it seems many vector databases charge based on how much data there is to scan through, but I don't find the documentation for vectorize clear, does "queried dimensions" refer to that same thing, or only to the actual dimensions of the vector you're searching by (please ping when responding )
Hi. I found this in the vectorize docs. I have 2 questions -
How long do I need to wait before sending next 5000embeddings after 1st batch so that I don't get rate limited. I am trying to insert and later query via HTTP API.
The global limit says 1200req/5min which is too low. It means, on avg only 4 queries can be done on the vectorize index per second right? This limit seems too low or I am not understanding it properly. If I query the index via worker, does this limit not apply in that case?