garvitg
CDCloudflare Developers
•Created by ac on 4/28/2025 in #vectorize
Is it possible to rename a Vectorize
The capability to list vectors from an index is something that we have on our roadmap, and that can serve as a tool to build an export workflow. But we are not planning to ship an index rename feature as of now.
3 replies
CDCloudflare Developers
•Created by ac on 4/28/2025 in #vectorize
Is it possible to rename a Vectorize
Hi @ac. Renaming an index not be possible at the moment. Index name is the primary identifier for a Vectorize entity and must remain immutable.
3 replies
CDCloudflare Developers
•Created by nukely on 4/26/2025 in #vectorize
Getting "message": "vectorize.upstream_
Hi @nukely. Thank you for reaching out!
I am able to repro the error that you have mentioned and we will be investigating the cloudflare-ts package. I initially suspected that formatting the request body as an ndjson string would suffice, but it did not.
In the meantime, you could insert vectors by calling the HTTP APIs directly from your ts project using logic that looks like:
5 replies
CDCloudflare Developers
•Created by Puliczek on 4/18/2025 in #vectorize
Can I have some questions? 1) What's the
Hi @Puliczek, thank you for checking in!
1. You can either receive metadata along with the vectors in the query response or by using the
2. It really depends on the number of vectors associated with each user. If you expect that each user would have several millions of associated vectors, OR if the total number of vectors for ALL users would exceed 5 million, then you should certainly create separate vectorize indexes for each user (https://developers.cloudflare.com/vectorize/platform/limits/). Otherwise having separate namespaces should suffice.
get-by-ids
operation on a Vectorize index. At the moment, if you'd like Vectorize queries to include all of the metadata, the maximum supported topK value would be 20.2. It really depends on the number of vectors associated with each user. If you expect that each user would have several millions of associated vectors, OR if the total number of vectors for ALL users would exceed 5 million, then you should certainly create separate vectorize indexes for each user (https://developers.cloudflare.com/vectorize/platform/limits/). Otherwise having separate namespaces should suffice.
2 replies
CDCloudflare Developers
•Created by Shadow on 4/21/2025 in #vectorize
Hey,
Hi @Shadow, thanks for reaching out! This error indicates that the supplied vector entity is not passed in the format expected by Vectorize. Please refer to the examples in https://developers.cloudflare.com/vectorize/best-practices/insert-vectors/ and ensure that the entity that you pass in the insert/upsert function is compatible with the expected format?
If you think that your code matches the examples in the documentation link above, please feel free to share some snippets in this thread or over DM!
1 replies
CDCloudflare Developers
•Created by Stephen on 4/13/2025 in #vectorize
Hi, is there a way of accessing each
I think the #autorag channel would be able to help you better with some of these specifics and especially your queries around the file chunks.
3 replies
CDCloudflare Developers
•Created by Harshilm on 4/12/2025 in #vectorize
@yevgen Is there any way to resync error
Hi @Harshilm. You can use the upsert operation to force add/update any vectors to a Vectorize index. Could you please help explain what the error files refer to?
3 replies
CDCloudflare Developers
•Created by Stephen on 4/13/2025 in #vectorize
Hi, is there a way of accessing each
Hi @Stephen, could you please share some context about how you're using Vectorize? Are you ingesting data into Vectorize using Autorag?
3 replies
CDCloudflare Developers
•Created by Ashish_S on 4/14/2025 in #vectorize
**delete vectors from AutoRAG vector
#autorag would be able to help you better for this query.
1 replies
CDCloudflare Developers
•Created by Nick on 4/13/2025 in #vectorize
Hey all, I’m experiencing unexpectedly
Hey @Nick, if you want to observe a high upsert throughput, please supply Vectorize with fewer, larger batches of vectors. The closer you are to the Vectorize upsert batch limit of 5000, the higher throughput you'd observe.
5 replies
CDCloudflare Developers
•Created by Neckville on 4/7/2025 in #vectorize
is there the concept of semantic caching
Hi @Neckville. Our caching policies do not explicitly cache data semantically. But since our storage layers attempt to maximize proximity between vectors and related metadata that are semantically similar, our caches may implicitly perform well if similar vectors are queried.
1 replies
CDCloudflare Developers
•Created by jedi on 4/4/2025 in #vectorize
hi guys i'm curious about the pricing
Hi @jedi. Metadata filtering has no impact on the measurement of the Queried Vector Dimensions as of now.
1 replies
CDCloudflare Developers
•Created by cloudkite on 2/11/2025 in #vectorize
Bump for visibility, also getting this.
Hey @Astro. Thank you for providing these details. We will pass them on to the team that looks after Wrangler auth.
I do want to inform you that Vectorize does not operate in a "true" local mode, since each request will hit your "remote" Vectorize index and go through the Vectorize service. That might explain why you're able to work with other bindings and not Vectorize.
Also wanted to check if your API token includes the "Vectorize Edit" Permissions since that is needed to insert vectors in a Vectorize index.
24 replies
CDCloudflare Developers
•Created by ac on 2/27/2025 in #vectorize
Cloudflare LLM Forbidden Error
Well I think that our friends over at #workers-ai would be able to confirm that and help you out better.
3 replies
CDCloudflare Developers
•Created by grantpowell on 3/3/2025 in #vectorize
Insert Vectors Error
Hi @grantpowell. Could you please share some more details of the error you have observed?
You could refer to https://developers.cloudflare.com/vectorize/best-practices/insert-vectors/ for some examples and recommended best practices around the insert operation.
1 replies
CDCloudflare Developers
•Created by ac on 2/27/2025 in #vectorize
Cloudflare LLM Forbidden Error
Hey @ac. The error message doesn't resemble a Vectorize error. Are you using a Workers AI model to generate the vectors before inserting them?
3 replies
CDCloudflare Developers
•Created by Victor on 2/14/2025 in #vectorize
https://discord.com/channels/
Hey @Victor. Thank you for reporting this. I am wondering if this is related to caching. Normally, caches get invalidated automatically within seconds of an index being deleted/recreated and that may explain why a subsequent upsert request succeeds. However, you may occasionally observe a delay longer than a few seconds.
Please feel free to DM with more details about your index if you notice this happening frequently.
2 replies
CDCloudflare Developers
•Created by cloudkite on 2/11/2025 in #vectorize
Bump for visibility, also getting this.
And do you observe the error in the local dev mode? After a delay?
24 replies
CDCloudflare Developers
•Created by cloudkite on 2/11/2025 in #vectorize
Bump for visibility, also getting this.
Hey @Astro. Are you observing this error in the dev mode too?
24 replies
CDCloudflare Developers
•Created by cloudkite on 2/11/2025 in #vectorize
Bump for visibility, also getting this.
Hey @cloudkite. We are working on trying to repro the issue internally, do you have an estimate for the time interval after you start observing the error? Any details that you can share would be useful (including the index name, stack traces and code snippets). Please feel free to DM me with those details if you'd prefer that.
Also, you will always need to pass the
--experimental-vectorize-bind-to-prod
flag to work with Vectorize indexes when using wrangler dev, so that steps seems correct.24 replies