Search documents and retrieve relevant chunks
Extract text from images
Search... using text for relevant documents
Extract text from PDF files
Extract text from images using OCR
Find relevant legal documents for your query
Extract named entities from text
Parse documents to extract structured information
Traditional OCR 1.0 on PDF/image files returning text/PDF
Find relevant text chunks from documents based on a query
Extract text from images with OCR
Search information in uploaded PDFs
Identify and extract key entities from text
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.