Find relevant text chunks from documents based on queries
Search documents using text queries
Extract text from images using OCR
Search and summarize documents with natural language queries
Search documents and retrieve relevant chunks
Extract text from PDF files
Search documents using semantic queries
Extract text from document images
Extract PDFs and chat to get insights
Extract text from PDF and answer questions
Find similar sentences in text using search query
Process and extract text from receipts
OCR for Arabic Language with QR code and Barcode Detection
Rag Community Tool Template is a pre-built framework designed to simplify the creation of applications that utilize Retrieval-Augmented Generation (RAG) systems. It provides a structured foundation for developers and users to extract text from scanned documents and find relevant chunks of text based on specific queries. This template is particularly useful for building custom tools that automate document analysis and information retrieval tasks.
What document formats does the tool support?
Rag Community Tool Template supports PDF, JPEG, PNG, TIFF, and other common document and image formats.
Can I use my own AI model with the template?
Yes, the template is compatible with multiple AI models, allowing you to integrate your preferred model for text extraction and analysis.
How do I improve the accuracy of text extraction?
To improve accuracy, ensure high-quality scanned documents, use specific and well-defined search queries, and refine your AI model configuration as needed.