Document extraction and context-aware chunking from Google Drive to Pinecone

• Extracting and processing large documents for AI applications
• Improving search retrieval accuracy for document-based queries
• Automating the conversion of text documents into vector embeddings

Trigger the workflow to initiate document extraction from Google Drive. Extract text data from the specified Google document. Split the extracted text into sections based on defined separators. Prepare each section for processing by generating contextual information. Convert the text sections into vector embeddings using Google Gemini. Store the generated embeddings in Pinecone for efficient retrieval.

1. 1
   Import the workflow template into n8n.
2. 2
   Connect your Google Drive and Pinecone accounts.
3. 3
   Specify the document ID for the Google Drive file to be processed.
4. 4
   Adjust any parameters as needed for your specific use case.
5. 5
   Run the workflow to extract and process the document.