Comments (4)
I'm getting the same with the Weaviate provider.
The proper solution is to ensure a source gets propogated from the upsert-file
endpoint (see #32).
A quick fix is to add if resp["source"] else None
where it creates the DocumentChunkMetadata
:
from chatgpt-retrieval-plugin.
Hello,
I was able to call upsert-file with a pdf document and it returned successfully an id for the document. However, when I try to query I am getting a 500 Internal Server Error.
In the console running the plugin, I can see the following error: Error: None is not a valid Source
In my query request I only provided the document_id in the filter section as the upsert-file operation does not allow to provide any other metadata.
Could you please advise how to query when the documents are added using upsert-file.
Thanks, Marcelo
For the time being, when you query use the filter, source = "file" to query correctly until this is resolved.
{
"queries": [
{
"query": "string",
"filter": {
"source": "file"
},
"top_k": 5
}
]
}
from chatgpt-retrieval-plugin.
Thank you all!
Resolved here: e07ffed
from chatgpt-retrieval-plugin.
Hello,
I was able to call upsert-file with a pdf document and it returned successfully an id for the document. However, when I try to query I am getting a 500 Internal Server Error.
In the console running the plugin, I can see the following error: Error: None is not a valid Source
In my query request I only provided the document_id in the filter section as the upsert-file operation does not allow to provide any other metadata.
Could you please advise how to query when the documents are added using upsert-file.
Thanks, Marcelo
Hi Marcelo,
I'm currently trying to upsert a pdf file but I'm stuck. Always getting "Internal Server Error".
I can't seem to find proper documentation how to do it right. It would be really kind if you could show me a little code example how you uperserted a file properly.
Thank, Olaf
from chatgpt-retrieval-plugin.
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