GPT Open-Source Initiative - Data Ingestion Challenge

Seeking assistance with setting up the following Open Source project:

https://github.com/mayooear/gpt4-pdf-chatbot-langchain

Encountering an error when running the npm run ingest command:

Error [Error: PineconeClient: Error calling upsert: Error: PineconeClient: Error calling upsertRaw: FetchError: The request failed and the interceptors did not return an alternative response]
c:\Users\Projects\chatpdf\gpt4-pdf-chatbot-langchain-main\gpt4-pdf-chatbot-langchain-main\scripts\ingest-data.ts:44
    throw new Error('Failed to ingest your data');
          ^


[Error: Failed to ingest your data]

Node.js v18.15.0

My .env file configuration includes:

OPENAI_API_KEY='sk-XXXXXXX'

# Update these with your Supabase details from your project settings > API and dashboard settings
PINECONE_API_KEY= '7XXXXXXXXX'
PINECONE_ENVIRONMENT= 'us-east1-gcp'
PINECONE_INDEX_NAME= 'default'

I have adjusted the pinecone.ts file and specified my namespace as:

const PINECONE_NAME_SPACE = 'pdfread'; //namespace is optional for your vectors

Additionally, in the makechain.ts file I have indicated that I am using GPT-3.5 while awaiting access to GPT-4:

modelName: 'gpt-3.5-turbo',

The PDF being ingested is named MorseVsFrederick, included in the repository.

Any insights on troubleshooting this issue?

javascripttypescriptopen-source

Answer №1

Without any adjustments on my end, the issue seems to have resolved itself. Perhaps it was related to the pinecone infrastructure.

Answer №2

Personally, I found that using the standard index name instead of the identifier created a more intuitive experience when referencing the associated index.

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