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FYI, submitted API site feedback, https

FYI, submitted API site feedback, https://developers.cloudflare.com/api/operations/vectorize-list-metadata-indexes should be GET not POST; also fails in ⛅️ wrangler 3.71.0 when running $ wrangler vectorize list-metadata-index <index-name>

Question about metadata indexing

Question about metadata indexing behavior: does it apply to existing vectors or only to those created after the metadata index is created? otherwise, does it backfill the index async?

Release [email protected] · cloudflare/wor...

Vectorize V2 is in public beta. As long as you have access to Vectorize and use the latest version of Wrangler https://github.com/cloudflare/workers-sdk/releases/tag/wrangler%403.71.0 you should have access to Vectorize V2.

do we need to fill this form to test V2

do we need to fill this form to test V2 or need to subscribe a paid plan?

Can we expect a visualisation window for

Can we expect a visualisation window for Cloudflare Vectorize to manage or monitor our embedding data? Like what we can use in D1 Database

Vectorize V2 - Waitlist

I'm happy to announce that all customers who requested access to Vectorize V2 https://forms.gle/jtSJAqz478DsULN86 have been onboarded.

Beta acces

Is there anyone with access to vectorize v2? I'm eagerly waiting. ✌️

Ui not loading

vectorize ui not loading :pain:

Listing all vectors in an index

Hi! I don't suppose there is a way to get all vectors stored in a vectorize database without knowing the vector IDs, right?

hey @pdwittig we have a unique case with

hey @pdwittig we have a unique case with 500m docs but each of them are 256 dimensions. do you think that we can try vectorize v2 for our usecase?

Are you also increasing the number of

Are you also increasing the number of vectors in an index or just the number of indexes? I am working on a use case where we need something close to 20-40MM vectors. We could store those all over multiple indexes, but a single index would be much preferred. Or do you perhaps mean the number of vectors per index is increased to 2MM and the number of indexes stays the same?...

Is there a rough ETA on being able to

Is there a rough ETA on being able to run vectorize locally? For context: I have a worker using a lot of cf services and it seems I have to use the api for vectorize as the —remote flag points all services to remote dev when really my goal is to run as many services locally as possible, then use remote for the unsupported ones. Is there a better way to handle this?...

Metadata filtering · Vectorize

I just started using Vectorize, and the query result shape is different than what's in the @cloudflare/[email protected]: ```{ "count": 1, "matches": [ { "vectorId": "145",...

The team is focused to release next

The team is focused to release next version of Vectorize with 2 MM per index support end of June in private beta. In the meantime for folks experiencing issues with REST query API outside of US we recommend using Workers bindings which doesn't need to go through API Gateway service.

Can you provide more info about the

Can you provide more info about the response you're getting? If it's a widespread issue we might be able to escalate here.

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?