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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) => {...
Are there any tips and tricks to improve
Are there any tips and tricks to improve query performance against Vectorize?
We make use of (per-project) namespaces for limiting the scope of similarity searches, and are seeing very slow performance on initial query against a namespace, and subsequent queries are much faster. One example has roughly 100 vectors and is taking ~3s for first query vs ~150ms for subsequent queries. Are cold-starts a thing with Vectorize?...
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.
Is supporting arrays with metadata
Is supporting arrays with metadata filtering on the roadmap? I'm migrating a v1 index to v2, and looking at adding a metadata index while I'm at it, but my metadata has string array properties. According to the docs this isn't possible now, but will it be in the near future? If not, I'll need to rethink how my metadata is stored before the migration.
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 controlapi 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?
Any updates/timeline on the automatic
Any updates/timeline on the automatic migration tool from v1 to v2 databases?
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:...