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I attempted to record a video on how to

I attempted to record a video on how to use Vectorize but I failed at the following: - figuring out binding VECTORIZE The documentation needs work in these areas....

Can we also expect

Can we also expect 1. Metadata filters without creating indexes for each 2. Create dynamic vector indexes programatically without the manual bindings...

hi, I am evaluating Vectorize as the

hi, I am evaluating Vectorize as the data store for an AI RAG application I am building for work. I noticed the metadata filtering does not implement $gte and $lte matching. Are those operators on the roadmap?

is it possible to load stuff into a prod

is it possible to load stuff into a prod vectorize index from the local machine? or is the data running in the miniflare / simulator only?

Hi @garvitg , I got question regarding

Hi @garvitg , I got question regarding the workers ai and vectorize, I have an app running Resnet50 to vectorize image, I'm planning to switch over to cloudflare since you guys support Resnet50, however, I saw the limitiations of the Vectorize it says it has maximum dimensions per vector 1536 dimensions, which is not high enough for my app since it generate 2048 dimensions using Resnet50, any idea how can I reduce the dimensions that is generated from Resnet50? I'm really new to this field, so any help would be awesome, thanks!...

Hello, Quick question, I get really slow

Hello, Quick question, I get really slow response times in Vectorise. Like seconds of response time. My code is very simple, so nothing else should be slowing it down. I am in Greece btw, so not sure if that plays a role. I get the same speeds when deploying the worker. ```typescript }), async (c) => {...

How can I see what vectors I have in my

How can I see what vectors I have in my index? I checked the commands I could run, and none mentioned showing the vectors I got in my index. I want to be able to delete and test stuff before I run the actual thing. Any guidance would be appreciated.

Hi, is Cloudflare Vectorize now support

Hi, is Cloudflare Vectorize now support $in metadata filter ?

I've been browsing through messages in

I've been browsing through messages in the past and documentations on vectorize, looks like now it's a great time to jump in, considering the beta release of workflow as well. though my concern is full RAG pipeline still needs a long way to go, so I'd prefer develop locally using llamaindex+chromadb(or equivalent)+litellm(embedding, inference, rerank, whisper, etc) first, before switching to cloudflare edge side completely, which I do need at a certain point because the product I am building requires global coverage. may I ask guy who already had previous experiences here, that, is this a viable plan, or anything I should keep in mind for choosing tech stack or develop or doing gitops? thanks a million!...

I am noticing a large number of `AiError

I am noticing a large number of AiError: 3001: Unknown internal error s when doing some Vectorize queries. Is there any way to get more insight into what these are? I have no clue if it's not finding a vector by ID, if I'm getting rate limited, or if it's something I can't control

api idea - It would be great to have

api idea - It would be great to have method for get/delete (all)vectors by namespace mainly delete use-case would be very helpful - in my case I have namespace for every "project" and I would like an easy way to clean-up.

Vector index issue

Nothing should have caused such issues, let me check with the team, it could be delayed as most of the team is in US time zone.

Is there a way to dynamically add

Is there a way to dynamically add Vectorize bindings programatically?

Quick question

Quick question 1. Why do we need to create metadata index and even if we have to create, why only 1 key at a time and upto 10 index is the limit? While upstash allows to filter on metadata normally on all metadata 2. Can we also expect glob and more type of searches operators along with eq and neq...

cloudflare

When do you expect to update the Typescript API to use V2? I'm running into a problem where Wrangler doesn't support the --deprecated-v1 flag on certain calls. I just created the index today so I'm very happy to use V2 but don't want to roll my own client.

Given the limitations of the meta-

Given the limitations of the meta-filtering operation, I have to leverage a nested key structure as documented: { "pandas.nice": 42 } // looks for { "pandas": { "nice": 42 } } However, when I attempt to upsert metadata where the key contains a JSON object, as specified in the documentation, I encounter the following error:...

Is best practice for supporting more

Is best practice for supporting more complicated query semantics than just filtering to upsert vectors with a metadata field containing foreign keys to D1 records? Then implement your own pre/post filtering between the two?

there is no support for contains. We are

there is no support for contains. We are planning add support for the following operations: - greater than - greater than or equal - less than - less than or equal...