Find relevant text chunks from documents based on queries
Process and extract text from receipts
Extract text from images
Traditional OCR 1.0 on PDF/image files returning text/PDF
Extract handwritten text from images
Search documents and retrieve relevant chunks
Extract text from images using OCR
Search documents for specific information using keywords
Employs Mistral OCR for transcribing historical data
Parse and extract information from documents
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Extract text from images with OCR
Extract text from document images
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.