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How can search directly filter scores?

How can search directly filter scores? Do I have to search and filter by myself?

What techniques should I use to cache

What techniques should I use to cache the data read from the vector using a worker? What about KV?

After I store the image, I immediately

After I store the image, I immediately retrieve the vector through the ID. However, he may not be able to retrieve it and may experience a delay of 2-3 seconds.

I want to use queries extensively now,

I want to use queries extensively now, but who knows if workers really don't limit frequency like HTTP interfaces do?

Hey CF Team, is something off with

Hey CF Team, is something off with vectorize indexing latencies? I am continously getting vectors not found via getByIds. Can anyone update the status?

Is there a way to use CF's AI to extract

Is there a way to use CF's AI to extract image embeddings?

```

vectorize.index.invalid_config - Dimensions must
be in range: [32, 1536] [code: 3003]
vectorize.index.invalid_config - Dimensions must
be in range: [32, 1536] [code: 3003]
...

I'm getting the following error locally

I'm getting the following error locally
✘ [ERROR] Uncaught (in promise) TypeError: Cannot read properties of undefined (reading 'insert')
env.VECTORIZE.insert(vectors)
env.VECTORIZE.insert(vectors)
...

Hi, why can't we use BGE-M3 embedding

Hi, why can't we use BGE-M3 embedding model (@cf/baai/bge-m3) to create vector index? Only these model are available to choose from: [ "@cf/baai/bge-small-en-v1.5", "@cf/baai/bge-base-en-v1.5", "@cf/baai/bge-large-en-v1.5", "openai/text-embedding-ada-002", "cohere/embed-multilingual-v2.0" ]...

Anyone have any repos/guides/videos of

Anyone have any repos/guides/videos of RAG pipelines being built fully on Clouldflare stack? Looking for some inspo

**Quick question: **For Vectorize

Quick question: For Vectorize billing calculation, is the total count of vectors is used? Or does namespace and metadata filtering reduced the number of billable Queried Vector Dimensions for that request? I have multiple tenants with different sets of vector, so looking for an efficient way to manage these. Creating one index per tenant would work, but it seems to complicate the bindings a bit. https://developers.cloudflare.com/vectorize/platform/pricing/...

AutoRAG today doesn’t support metadata

AutoRAG today doesn’t support metadata filtering — but can I just append metadata anyway and manually query the database with these outside of the AutoRAG endpoint?

Hi Team, Getting these errors very often

Hi Team, Getting these errors very often for some time. Vectorize API error: upstream request timeout Can anyone verify?...

First time reading about precise scores

First time reading about precise scores when querying. How much would be the latency increase?

hi does vectorize behave in a similar

hi does vectorize behave in a similar way to r2? in the sense that we can use preview_index_name in the wrangler.toml? just like preview_bucket_name?

which vector search algo is used in

which vector search algo is used in vectorize

I found an issue in my similarity

I found an issue in my similarity pipeline that started like a day ago. The issue is now, the similarity scores have been downleveved significantly - for eg, earlier I was getting the score of 0.7 for a few content pieces and now the processing of the same content again are sending the score of ~ 0.4 hence my check is not returning results. Has this behaviour been changed recently?

Is it possible to rename a Vectorize

Is it possible to rename a Vectorize index?

Getting "message": "vectorize.upstream_

Getting "message": "vectorize.upstream_error - failed to parse insert vectors request in ndjson format: line Some(0) was not expected format"