Search documents and retrieve relevant chunks
RAG with multiple types of loaders like text, pdf and web
Find relevant legal documents for your query
Find relevant passages in documents using semantic search
Extract text from multilingual invoices
Visual RAG Tool
Process documents and answer queries
Extract information from documents by asking questions
Search information in uploaded PDFs
Extract handwritten text from images
A demo app which retrives information from multiple PDF docu
Parse documents to extract structured information
Extract text from images using OCR
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.
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.