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I suddenly realized that the

I suddenly realized that the functionality of my product is similar to AWS Bedrock's knowledge base management , and I don't have confidence in being able to compete with AWS. I want to know if it's possible for me to join Cloudflare and do the same thing?:blobhaj:

Vector insertion error

Hey guys, I'm try to insert a vector via REST API, but I'm getting ```json { "result": null,...

I will also +💯 this https://discord.com

I will also +💯 this https://discord.com/channels/595317990191398933/1152193114522525726/1195671391228411965 As being able to do > >= < <= and boolean true falseis the only thing stopping me from moving forward with Vectorize ... It would still be super convenient to also have an API:...

I'm using langchain and vectorize with

I'm using langchain and vectorize with ada embedding from openAI. When I do a similarity search I'm getting repeated entries returned. What am I missing?

For the moment, you're going to find (

For the moment, you're going to find (which you may have already spotted) that you're going to dodge one bullet, only to be hit by the next in terms of limits. In some ways, this has actually been a good process, because it made me really think about the data in a much deeper way than otherwise - in order to get some scale out of it, I've got a rotator system in, which binds N indexes to a worker, and I have N workers doing that. With 100 indexes and 200K vectors/index limits, that's about the only way to really push it at the moment - I would suspect/hope we are due for an update soon including limit increases....

I am getting "error code: 502" errors

I am getting "error code: 502" errors for the last few minutes on two different vectorize indices

`https://api.cloudflare.com/client/v4/

https://api.cloudflare.com/client/v4/accounts/920b1a6e159cf77dab28969103a4765b/vectorize/indexes/customers-650a02c2a5be79517a7f79e2/query

Launched: Metadata filtering

Hi folks, it's a fun day because metadata filtering is now available with Vectorize! Check out the docs here, https://developers.cloudflare.com/vectorize/learning/metadata-filtering/. Happy building and please share any feedback or issues!

hi, namespace filtering is not working

hi, namespace filtering is not working for me, have a short code on how to reproduce Indexing and searching, if i remove the namespace param from the search file, results are there, but using namespace filtering i'm not getting any results (with the same vector)...

Vectorize feedback

supercloud Hey there! Vectorize has been out a month now. We'd love your feedback if you have some that you haven't shared yet. What's good, what's bad, what could be better, we take it all.

Note that Vectorize supports namespaces

Note that Vectorize supports namespaces per index and (soon) metadata filtering. How many indexes overall do you expect? If we bumped one limit (name length) I don’t want you to just run into another. Better to understand what you’re trying to architect here.

To better grok what level of metadata

To better grok: what level of metadata filtering? All of the Mongo/Pinecone style operators? Just equality? Examples will help. The more scope the more complexity 🙂