I got this error

Support
1

ApiException: (400)
Reason: Bad Request
HTTP response headers: HTTPHeaderDict({‘content-type’: ‘application/json’, ‘Content-Length’: ‘115’, ‘date’: ‘Tue, 21 Nov 2023 13:21:34 GMT’, ‘x-envoy-upstream-service-time’: ‘16’, ‘server’: ‘envoy’, ‘Via’: ‘1.1 google’, ‘Alt-Svc’: ‘h3=“:443”; ma=2592000,h3-29=“:443”; ma=2592000’})
HTTP response body: {“code”:3,“message”:“Metadata size is 41206 bytes, which exceeds the limit of 40960 bytes per vector”,“details”:}

2

Hi @aitest242

Your problem lies in the amount of data you are adding via metadata

Reduce the amount of data and you should be able to upsert with no problem :slight_smile:

Hope this helps

2 Likes
4

Thanks for reply.

i just want to know is there any other way to increase there metadata limit of per vector by purchasing any subscription or any other option for it?

5

Storage space in vector DBs is much more expensive compared to alternatives.

If you’re just storing data that’s associated with your vectors, so that you can retrieve it when a vector search matches, then I would instead consider storing that data in a separate DB and just storing a reference (e.g. unique ID) in Pinecone that points to the clear-text content in the other DB.

To minimize costs and maximize performance, you should limit what you store in Pinecone to:

  • Vectors
  • Metadata that enables filtering of semantic search results
  • Small quantities of associative metadata
    • Small text data, if needed for convenience
    • Reference IDs pointing to larger quantities of text in another system
2 Likes
6

Got it. best explanation Thank you :innocent:

1 Like