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Extract text from scanned documents
Rag Community Tool Template

Rag Community Tool Template

Search documents and retrieve relevant chunks

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What is Rag Community Tool Template ?

The Rag Community Tool Template is a specialized tool designed to extract and search text from scanned documents. It integrates seamlessly with Retrieval-Augmented Generation (RAG) systems, enabling users to search documents and retrieve relevant chunks of text efficiently. This template is ideal for workflows involving document analysis, research, and data extraction.

Features

  • Text Extraction: Easily extract text from scanned documents, including PDFs and images.
  • Search Functionality: Search across documents to find specific information or keywords.
  • RAG Integration: Works with RAG systems to enhance document retrieval and analysis.
  • User-Friendly Interface: Simplified workflow for uploading, processing, and searching documents.

How to use Rag Community Tool Template ?

  1. Upload Documents: Load your scanned documents (PDFs, images) into the tool.
  2. Extract Text: Use the built-in OCR (Optical Character Recognition) to extract readable text from the documents.
  3. Search Documents: Input keywords or phrases to search across the extracted text.
  4. Retrieve Results: View relevant chunks of text that match your search query.
  5. Export Results: Save or export the results for further analysis or use in other workflows.

Frequently Asked Questions

What file formats are supported?
The tool supports PDF, JPEG, PNG, and TIFF formats for document uploading.

Can I use this tool without RAG integration?
Yes, the Rag Community Tool Template can be used as a standalone tool for text extraction and search.

How accurate is the text extraction from scanned documents?
The accuracy depends on the quality of the scanned document. Clear, high-resolution scans typically yield the best results.

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