Search documents and retrieve relevant chunks
A demo app which retrives information from multiple PDF docu
Find information using text queries
Find relevant text chunks from documents based on a query
Extract information from documents by asking questions
Extract text from images using OCR
Extract text from documents or images
Find relevant passages in documents using semantic search
Extract handwritten text from images
Convert images with text to searchable documents
Employs Mistral OCR for transcribing historical data
Search information in uploaded PDFs
RAG with multiple types of loaders like text, pdf and web
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.