Extract and Process Documents for RAG
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Extracts text content from PDF files to prepare them for a RAG (Retrieval-Augmented Generation) AI agent.
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About This Workflow
Overview
This workflow automates the process of extracting text content from PDF documents and prepares it for ingestion into a vector database. It is designed as a component of a larger RAG AI agent system.
Key Features
- Automatically detects new PDF files added to a specified Google Drive folder.
- Downloads new PDF files.
- Extracts text content from the downloaded PDF files.
- Supports chunking of extracted text for better processing.
How To Use
- Configure a Google Drive trigger to monitor a specific folder for new PDF files.
- Ensure the 'Extract from File' node is set to process PDF files.
- Connect the output of the 'Extract from File' node to a text splitter node (if chunking is desired).
- The processed text can then be embedded and stored in a vector database like Milvus.
Apps Used
Workflow JSON
{
"id": "e8527020-e7cc-4984-8f07-e57c72397d0c",
"name": "Extract and Process Documents for RAG",
"nodes": 0,
"category": "File Processing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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