Hi! I was wondering: **are vector IDs unique per index or unique per namespace?** 🤔 Reading https

A

A-Social-Ninja-University•3/16/24, 9:14 AM

ninja-mann07.github.ioi

Ccarrot sticks how silly will it be for me to build my website around this vectorize functional...

D

dakom•3/18/24, 11:43 AM

any n00b tips to learn more about how to use vector search for that kinda thing? still getting my feet wet in this area coming from traditional dbs

Kknoedelkopp Hi! I was wondering: **are vector IDs unique per index or unique per namespace?...

J

Jerome•3/22/24, 1:43 PM

yep, unique per index

O

Old Man Maker•3/22/24, 3:39 PM

Hi - can someone check a vector index for me please. I am looking at some logs that show an insert call but the return is :

{
      "message": [
        "Response from Index =>",
        "{\"count\":0,\"ids\":[]}"
      ],
      "level": "log",
      "timestamp": 1711117766889
    },

{
      "message": [
        "Response from Index =>",
        "{\"count\":0,\"ids\":[]}"
      ],
      "level": "log",
      "timestamp": 1711117766889
    },

{
      "message": [
        "Response from Index =>",
        "{\"count\":0,\"ids\":[]}"
      ],
      "level": "log",
      "timestamp": 1711117766889
    },

{
      "message": [
        "Response from Index =>",
        "{\"count\":0,\"ids\":[]}"
      ],
      "level": "log",
      "timestamp": 1711117766889
    },

No other information why the supplied values are not being inserted
What information is needed from me to check this?

V

Victor•3/25/24, 8:30 AM

Hey there, I was wondering if there was any benefit to using namespaces with regards to billing?
Say you have a namespace with a large number of vectors, and a smaller one, it would still be preferable to create separate indexes to reduce the query cost, right?

KKorcan Hello, is it possible to use Vectorize with Cloudflare Pages?

S

schkovich•3/25/24, 11:15 PM

To overcome the lack of Vectorize in Pages, I use Service Bindings as a reverse proxy to the Vectorize database.

In the application code (functions), I have a class that acts as a facade, implementing all the methods from the Vectorize bindings that are, in the background, sending requests to the bound worker, which would proxy the request to the Vectorize database and the response back.

There are downsides to such an approach. The most notable one is that only remote development is supported.

P

pkpio•3/26/24, 2:05 PM

Is topK expected to bump soon? Realistically what value can we expect?

A

Anubhav Singh•3/31/24, 12:28 PM

I have tried almost everything trying to get the

upsert

upsert

upsert

upsert or

insert

insert

insert

insert method to work for me via the REST API or the

cloudflare

cloudflare

cloudflare

cloudflare npm package but keep getting

  errors: [ { code: 1005, message: 'vectorize.unknown_content_type' } ]

errors: [ { code: 1005, message: 'vectorize.unknown_content_type' } ]

  errors: [ { code: 1005, message: 'vectorize.unknown_content_type' } ]

errors: [ { code: 1005, message: 'vectorize.unknown_content_type' } ]

The same code when used via wrangler (and bindings) works flawlessly.

Can anyone please share a working sample of upsert/insert via REST API?

Ccfnathan Are you sure you're specifying the content type (`application/x-ndjson`) when se...

A

Anubhav Singh•4/1/24, 6:02 AM

All the samples on the API docs too want me to submit ndjson files, but I do not want to involve files in the process. If its possible to do this via wrangler's vector bindings, whose code I extracted and tried using without success, it should be possible to use via REST API too!

Ccfnathan We're in the midst of getting things in ship shape for a GA release of Vectorize...

P

pkpio•4/3/24, 9:51 AM

Hoping to see 200. Since LLMs context is expanding, for certain queries we can provide better answers by including more context. For example, tasks like summarize a video transcript. The current 25 docs limit is simply not usable to produce a good enough summary for lack of sufficient information in the context.

Ccfnathan We're in the midst of getting things in ship shape for a GA release of Vectorize...

A

AndyJessop•4/4/24, 8:27 AM

At the current time, 100 would work for my purposes. But with context windows going up exponentially, it's making VectorDB results less and less useful. At some point I'll be able to fit my entire repo into context and that would eclipse any benefit from Vectors. In that light, I think that topK needs to start high and go higher (maybe in proportion to context window size?).

S

sbentley•4/4/24, 3:16 PM

Has anyone come up with a good solution to filter metadata with a logical or? It doesn't look like the vectorize metadata filtering supports it so I'm trying to figure out a good work around.

N

nuno•4/4/24, 4:42 PM

Hey guys, I'm try to insert a vector via REST API, but I'm getting

{
  "result": null,
  "success": false,
  "errors": [
    {
      "code": 4000,
      "message": "vectorize.vector.missing_part"
    }
  ],
  "messages": []
}

{
  "result": null,
  "success": false,
  "errors": [
    {
      "code": 4000,
      "message": "vectorize.vector.missing_part"
    }
  ],
  "messages": []
}

{
  "result": null,
  "success": false,
  "errors": [
    {
      "code": 4000,
      "message": "vectorize.vector.missing_part"
    }
  ],
  "messages": []
}

{
  "result": null,
  "success": false,
  "errors": [
    {
      "code": 4000,
      "message": "vectorize.vector.missing_part"
    }
  ],
  "messages": []
}

I'm creating a blob to simulate as a file and send it via formdata

const blob = new Blob([JSON.stringify({ id, values }) + '\n'], { type: 'application/x-ndjson' });
console.log('blob :', blob);
const formData = new FormData();
formData.append('file', blob, 'data.ndjson');

const response = await fetch(`${c.env.CLOUDFLARE_API_URL}/accounts/${c.env.CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/${vectorize}/insert`, {
   method: 'POST',
   headers: {
     Authorization: `Bearer ${c.env.CLOUDFLARE_API_TOKEN}`,
   },
   body: formData,
 });

const blob = new Blob([JSON.stringify({ id, values }) + '\n'], { type: 'application/x-ndjson' });
console.log('blob :', blob);
const formData = new FormData();
formData.append('file', blob, 'data.ndjson');

const response = await fetch(`${c.env.CLOUDFLARE_API_URL}/accounts/${c.env.CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/${vectorize}/insert`, {
   method: 'POST',
   headers: {
     Authorization: `Bearer ${c.env.CLOUDFLARE_API_TOKEN}`,
   },
   body: formData,
 });

const blob = new Blob([JSON.stringify({ id, values }) + '\n'], { type: 'application/x-ndjson' });
console.log('blob :', blob);
const formData = new FormData();
formData.append('file', blob, 'data.ndjson');

const response = await fetch(`${c.env.CLOUDFLARE_API_URL}/accounts/${c.env.CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/${vectorize}/insert`, {
   method: 'POST',
   headers: {
     Authorization: `Bearer ${c.env.CLOUDFLARE_API_TOKEN}`,
   },
   body: formData,
 });

const blob = new Blob([JSON.stringify({ id, values }) + '\n'], { type: 'application/x-ndjson' });
console.log('blob :', blob);
const formData = new FormData();
formData.append('file', blob, 'data.ndjson');

const response = await fetch(`${c.env.CLOUDFLARE_API_URL}/accounts/${c.env.CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/${vectorize}/insert`, {
   method: 'POST',
   headers: {
     Authorization: `Bearer ${c.env.CLOUDFLARE_API_TOKEN}`,
   },
   body: formData,
 });

Am I doing something wrong? Any ideas?

S

schkovich•4/12/24, 4:13 PM

Bad Request / Internal Server Error

import http.client

conn = http.client.HTTPSConnection("api.cloudflare.com")

headers = {
    'Content-Type': "application/json",
    'Authorization': f"Bearer {vectorize_token}"
    }

conn.request("GET", f"/client/v4/accounts/{account_id}/vectorize/indexes", headers=headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import http.client

conn = http.client.HTTPSConnection("api.cloudflare.com")

headers = {
    'Content-Type': "application/json",
    'Authorization': f"Bearer {vectorize_token}"
    }

conn.request("GET", f"/client/v4/accounts/{account_id}/vectorize/indexes", headers=headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import http.client

conn = http.client.HTTPSConnection("api.cloudflare.com")

headers = {
    'Content-Type': "application/json",
    'Authorization': f"Bearer {vectorize_token}"
    }

conn.request("GET", f"/client/v4/accounts/{account_id}/vectorize/indexes", headers=headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import http.client

conn = http.client.HTTPSConnection("api.cloudflare.com")

headers = {
    'Content-Type': "application/json",
    'Authorization': f"Bearer {vectorize_token}"
    }

conn.request("GET", f"/client/v4/accounts/{account_id}/vectorize/indexes", headers=headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

returns correctly list of indexes.

import http.client

conn = http.client.HTTPSConnection("api.cloudflare.com")

payload = "/home/ubuntu/jupy/notebooks/test_vector.ndjson"

headers = {
    'Content-Type': "application/x-ndjson",
    'Authorization': f"Bearer {vectorize_token}"
    }

conn.request("POST", f"client/v4/accounts/{account_id}/vectorize/indexes/hey-hi-index/upsert", payload, headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import http.client

conn = http.client.HTTPSConnection("api.cloudflare.com")

payload = "/home/ubuntu/jupy/notebooks/test_vector.ndjson"

headers = {
    'Content-Type': "application/x-ndjson",
    'Authorization': f"Bearer {vectorize_token}"
    }

conn.request("POST", f"client/v4/accounts/{account_id}/vectorize/indexes/hey-hi-index/upsert", payload, headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import http.client

conn = http.client.HTTPSConnection("api.cloudflare.com")

payload = "/home/ubuntu/jupy/notebooks/test_vector.ndjson"

headers = {
    'Content-Type': "application/x-ndjson",
    'Authorization': f"Bearer {vectorize_token}"
    }

conn.request("POST", f"client/v4/accounts/{account_id}/vectorize/indexes/hey-hi-index/upsert", payload, headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import http.client

conn = http.client.HTTPSConnection("api.cloudflare.com")

payload = "/home/ubuntu/jupy/notebooks/test_vector.ndjson"

headers = {
    'Content-Type': "application/x-ndjson",
    'Authorization': f"Bearer {vectorize_token}"
    }

conn.request("POST", f"client/v4/accounts/{account_id}/vectorize/indexes/hey-hi-index/upsert", payload, headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

unfortunately upsert is returning 400 Bad Request

path to ndjson file is correct. there is only a single 768 vector.

!ls -lh test_vector.ndjson
-rw-r--r-- 1 ubuntu ubuntu 17K Apr 12 15:49 test_vector.ndjson

!ls -lh test_vector.ndjson
-rw-r--r-- 1 ubuntu ubuntu 17K Apr 12 15:49 test_vector.ndjson

!ls -lh test_vector.ndjson
-rw-r--r-- 1 ubuntu ubuntu 17K Apr 12 15:49 test_vector.ndjson

!ls -lh test_vector.ndjson
-rw-r--r-- 1 ubuntu ubuntu 17K Apr 12 15:49 test_vector.ndjson

I am getting the same results with curl. curl response differs slightly:

curl --request POST   --url https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/hey-hi-index/upsert   --header "Authorization: Bearer ${VECTORIZE_API_TOKEN}"   --header 'Content-Type: application/x-ndjson'   --data test_vector.ndjson
{
  "result": null,
  "success": false,
  "errors": [
    {
      "message": "unexpected - Internal server error"
    }
  ],
  "messages": []
}

curl --request POST   --url https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/hey-hi-index/upsert   --header "Authorization: Bearer ${VECTORIZE_API_TOKEN}"   --header 'Content-Type: application/x-ndjson'   --data test_vector.ndjson
{
  "result": null,
  "success": false,
  "errors": [
    {
      "message": "unexpected - Internal server error"
    }
  ],
  "messages": []
}

curl --request POST   --url https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/hey-hi-index/upsert   --header "Authorization: Bearer ${VECTORIZE_API_TOKEN}"   --header 'Content-Type: application/x-ndjson'   --data test_vector.ndjson
{
  "result": null,
  "success": false,
  "errors": [
    {
      "message": "unexpected - Internal server error"
    }
  ],
  "messages": []
}

curl --request POST   --url https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/hey-hi-index/upsert   --header "Authorization: Bearer ${VECTORIZE_API_TOKEN}"   --header 'Content-Type: application/x-ndjson'   --data test_vector.ndjson
{
  "result": null,
  "success": false,
  "errors": [
    {
      "message": "unexpected - Internal server error"
    }
  ],
  "messages": []
}

My best guess that something might be wrong with ndjson format

[0.032991889864206314, 0.0012868141056969762, ,,,]

[0.032991889864206314, 0.0012868141056969762, ,,,]

[0.032991889864206314, 0.0012868141056969762, ,,,]

[0.032991889864206314, 0.0012868141056969762, ,,,]

Ccfnathan I suspect something is broken with our raw body reader. We'll look into this - i...

S

schkovich•4/12/24, 7:58 PM

Same response.

import requests
from requests_toolbelt import MultipartEncoder

def upsert(url, file_name, content_type, authorization_token):
  """Sends a POST request.
  :param url: URL for the new :class:`Request` object.
  :param file_name: File to be sent/attached in the body of the request.
  :content_type: File content type
  :authorization_token: Cloudflare authorization token
  :return: :class:`Response <Response>` object.
  """
  payload = MultipartEncoder(
    fields = {'field1': ('filename', open(file_name, 'rb'), content_type)}
  )
  headers = {
    'Content-Type': payload.content_type,
    'Authorization': f"Bearer {authorization_token}"
    }
  return requests.post(url, data = payload, headers = headers)
 
upsert(
    f"https://api.cloudflare.com/client/v4/accounts/{account_id}/vectorize/indexes/hey-hi-index/upsert",
    "test_vector.ndjson",
    "application/x-ndjson",
    vectorize_token
)
<Response [400]>

import requests
from requests_toolbelt import MultipartEncoder

def upsert(url, file_name, content_type, authorization_token):
  """Sends a POST request.
  :param url: URL for the new :class:`Request` object.
  :param file_name: File to be sent/attached in the body of the request.
  :content_type: File content type
  :authorization_token: Cloudflare authorization token
  :return: :class:`Response <Response>` object.
  """
  payload = MultipartEncoder(
    fields = {'field1': ('filename', open(file_name, 'rb'), content_type)}
  )
  headers = {
    'Content-Type': payload.content_type,
    'Authorization': f"Bearer {authorization_token}"
    }
  return requests.post(url, data = payload, headers = headers)
 
upsert(
    f"https://api.cloudflare.com/client/v4/accounts/{account_id}/vectorize/indexes/hey-hi-index/upsert",
    "test_vector.ndjson",
    "application/x-ndjson",
    vectorize_token
)
<Response [400]>

import requests
from requests_toolbelt import MultipartEncoder

def upsert(url, file_name, content_type, authorization_token):
  """Sends a POST request.
  :param url: URL for the new :class:`Request` object.
  :param file_name: File to be sent/attached in the body of the request.
  :content_type: File content type
  :authorization_token: Cloudflare authorization token
  :return: :class:`Response <Response>` object.
  """
  payload = MultipartEncoder(
    fields = {'field1': ('filename', open(file_name, 'rb'), content_type)}
  )
  headers = {
    'Content-Type': payload.content_type,
    'Authorization': f"Bearer {authorization_token}"
    }
  return requests.post(url, data = payload, headers = headers)
 
upsert(
    f"https://api.cloudflare.com/client/v4/accounts/{account_id}/vectorize/indexes/hey-hi-index/upsert",
    "test_vector.ndjson",
    "application/x-ndjson",
    vectorize_token
)
<Response [400]>

import requests
from requests_toolbelt import MultipartEncoder

def upsert(url, file_name, content_type, authorization_token):
  """Sends a POST request.
  :param url: URL for the new :class:`Request` object.
  :param file_name: File to be sent/attached in the body of the request.
  :content_type: File content type
  :authorization_token: Cloudflare authorization token
  :return: :class:`Response <Response>` object.
  """
  payload = MultipartEncoder(
    fields = {'field1': ('filename', open(file_name, 'rb'), content_type)}
  )
  headers = {
    'Content-Type': payload.content_type,
    'Authorization': f"Bearer {authorization_token}"
    }
  return requests.post(url, data = payload, headers = headers)
 
upsert(
    f"https://api.cloudflare.com/client/v4/accounts/{account_id}/vectorize/indexes/hey-hi-index/upsert",
    "test_vector.ndjson",
    "application/x-ndjson",
    vectorize_token
)
<Response [400]>

Let me know if I can provide further details.

S

schkovich•4/12/24, 8:06 PM

same. let me try to insert that vector using wrangler. just to be sure that the file is in the correct format.

S

schkovich•4/12/24, 8:14 PM

@cfnathan Okay, it appears that file format is wrong.

$ npx wrangler vectorize insert hey-hi-index --file test_vector.ndjson 
✨ Uploading vector batch (1 vectors)

✘ [ERROR] A request to the Cloudflare API (/accounts/account_id/vectorize/indexes/hey-hi-index/insert) failed.

  vectorize.invalid_body_payload [code: 1006]

$ npx wrangler vectorize insert hey-hi-index --file test_vector.ndjson 
✨ Uploading vector batch (1 vectors)

✘ [ERROR] A request to the Cloudflare API (/accounts/account_id/vectorize/indexes/hey-hi-index/insert) failed.

  vectorize.invalid_body_payload [code: 1006]

$ npx wrangler vectorize insert hey-hi-index --file test_vector.ndjson 
✨ Uploading vector batch (1 vectors)

✘ [ERROR] A request to the Cloudflare API (/accounts/account_id/vectorize/indexes/hey-hi-index/insert) failed.

  vectorize.invalid_body_payload [code: 1006]

$ npx wrangler vectorize insert hey-hi-index --file test_vector.ndjson 
✨ Uploading vector batch (1 vectors)

✘ [ERROR] A request to the Cloudflare API (/accounts/account_id/vectorize/indexes/hey-hi-index/insert) failed.

  vectorize.invalid_body_payload [code: 1006]

How it should it be formatted?

[0.032991889864206314, 0.0012868141056969762, ,,,]

[0.032991889864206314, 0.0012868141056969762, ,,,]

[0.032991889864206314, 0.0012868141056969762, ,,,]

[0.032991889864206314, 0.0012868141056969762, ,,,]

Sschkovich @cfnathan Okay, it appears that file format is wrong. ```sh $ npx wrangler vecto...

S

schkovich•4/12/24, 8:28 PM

@cfnathan validator says OK

Ccfnathan There's an example here. https://developers.cloudflare.com/vectorize/configurati...

S

schkovich•4/12/24, 8:42 PM

perfect! that's it. wrangler works as well as multipart request. however, the first example is still returning 400. you might have a bug there. i will review the code in quesion once again.

Sschkovich perfect! that's it. wrangler works as well as multipart request. however, the fi...

S

schkovich•4/12/24, 8:47 PM

curl is giving the same error.

curl --request POST   --url https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/hey-hi-index/upsert   --header "Authorization: Bearer ${VECTORIZE_API_TOKEN}"   --header 'Content-Type: application/x-ndjson'   --data test_vector.ndjson
{
  "result": null,
  "success": false,
  "errors": [
    {
      "message": "unexpected - Internal server error"
    }
  ],
  "messages": []
}

curl --request POST   --url https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/hey-hi-index/upsert   --header "Authorization: Bearer ${VECTORIZE_API_TOKEN}"   --header 'Content-Type: application/x-ndjson'   --data test_vector.ndjson
{
  "result": null,
  "success": false,
  "errors": [
    {
      "message": "unexpected - Internal server error"
    }
  ],
  "messages": []
}

curl --request POST   --url https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/hey-hi-index/upsert   --header "Authorization: Bearer ${VECTORIZE_API_TOKEN}"   --header 'Content-Type: application/x-ndjson'   --data test_vector.ndjson
{
  "result": null,
  "success": false,
  "errors": [
    {
      "message": "unexpected - Internal server error"
    }
  ],
  "messages": []
}

curl --request POST   --url https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/vectorize/indexes/hey-hi-index/upsert   --header "Authorization: Bearer ${VECTORIZE_API_TOKEN}"   --header 'Content-Type: application/x-ndjson'   --data test_vector.ndjson
{
  "result": null,
  "success": false,
  "errors": [
    {
      "message": "unexpected - Internal server error"
    }
  ],
  "messages": []
}

W

Wang•4/17/24, 5:57 AM

Hi, Cloudflare team

W

Wang•4/17/24, 5:58 AM

I encountered a 502 error when accessing the Vectorize Query API using a Singapore IP, but it works fine with a China IP. How can I resolve this?

W

Wang•4/17/24, 5:58 AM

This is the API being used.
const url =

https://api.cloudflare.com/client/v4/accounts/${ACCOUNT_IDENTIFIER}/vectorize/indexes/${indexName}/query

https://api.cloudflare.com/client/v4/accounts/${ACCOUNT_IDENTIFIER}/vectorize/indexes/${indexName}/query

https://api.cloudflare.com/client/v4/accounts/${ACCOUNT_IDENTIFIER}/vectorize/indexes/${indexName}/query

https://api.cloudflare.com/client/v4/accounts/${ACCOUNT_IDENTIFIER}/vectorize/indexes/${indexName}/query;

N

notorious_tom•4/18/24, 9:41 PM

Does anyone know where I can find OpenAPI spec files for vectorize db?

Nnotorious_tom Does anyone know where I can find OpenAPI spec files for vectorize db?

D

DaniFoldi•4/19/24, 6:30 AM

https://developers.cloudflare.com/api/operations/vectorize-list-vectorize-indexes
if you go back to https://developers.cloudflare.com/api/ you can export the whole cloudflare openapi spec, if you need that

Z

zensin•4/19/24, 9:24 AM

All the examples show populating a

wrangler.toml

wrangler.toml

wrangler.toml

wrangler.toml with:

[[vectorize]]
binding = "VECTOR_INDEX"
index_name = "vector-index"

[[vectorize]]
binding = "VECTOR_INDEX"
index_name = "vector-index"

[[vectorize]]
binding = "VECTOR_INDEX"
index_name = "vector-index"

[[vectorize]]
binding = "VECTOR_INDEX"
index_name = "vector-index"

and then they show using it in a worker script.

Do I have to declare the index in the toml file? What I would instead like to do is dynamically create indexes and let the client specify which one it wants to use (or create) in the request. That way each user can have their own index of whatever.

I know I can create indexes using the REST API. However, idk how to then dynamically load them by name in a worker to use them for search.

Ccfnathan Currently this isn't possible as you're correct, you need to bind to individual ...

S

Saqib•4/23/24, 5:05 PM

@cfnathan is there an ETA on when the limits will be increased — namespaces per index and vectors per index?

S

scotto•4/24/24, 12:04 AM

What is the best way to manage for example if a product has many vectors, for example one per image and we want to obtain the top 10 products without getting the same product multiple times

Sscotto What is the best way to manage for example if a product has many vectors, for ex...

P

pkpio•4/24/24, 9:16 AM

Try MMR search - I think what you are looking for is diversity in results

Ppkpio Try MMR search - I think what you are looking for is diversity in results

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scotto•4/24/24, 11:35 AM

cloudflare vectorize supports inserting multiples vectors to the same id?

Sscotto cloudflare vectorize supports inserting multiples vectors to the same id?

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pkpio•4/24/24, 1:21 PM

Don't know

Sscotto cloudflare vectorize supports inserting multiples vectors to the same id?

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Saqib•4/24/24, 4:11 PM

I think it does not allow.

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Wang•4/25/24, 11:45 AM

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:

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Wang•4/25/24, 11:47 AM

I use the technology stack of Cloudflare Pages for full-stack development, Cloudflare D1, Cloudflare AI, Cloudflare R2, as well as Vectorize for knowledge training and chatbot construction.

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Wang•4/25/24, 11:47 AM

:dogekek:

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scotto•4/25/24, 12:46 PM

i'm getting an empty 200 response from vectorize rest API, index has data

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scotto•4/25/24, 12:46 PM

no errors just an empty response

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scotto•4/25/24, 1:02 PM

how to open a support ticket here? i can send a video, i can reproduce the problem quite easily

Sscotto how to open a support ticket here? i can send a video, i can reproduce the probl...

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Isaac McFadyen•4/25/24, 1:07 PM

?support

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Flare•4/25/24, 1:07 PM

To contact Cloudflare Support about an issue, please visit the Support Portal and fill in the form on the portal. After submission, you will receive confirmation over email.

Some issues, such as Account or Billing related issues, cannot be solved by the community.
Any plan level (including Free plans) can open tickets for Account, Billing or Registrar ticket categories. Make sure to select the correct category to ensure it goes to the right place.
For more information on the methods by which you can contact Support for your plan level, see Contacting Cloudflare Support - Cloudflare Docs

Sscotto i'm getting an empty 200 response from vectorize rest API, index has data

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Isaac McFadyen•4/25/24, 1:16 PM

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

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Isaac McFadyen•4/25/24, 1:16 PM

Are you getting an empty array in the response? An empty 200 body? Something else?

Hi! I was wondering: are vector IDs unique per index or unique per namespace? 🤔 Reading https

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