Find relevant text chunks from documents based on queries
Extract and query terms from documents
GOT - OCR (from : UCAS, Beijing)
Search documents for specific information using keywords
Fetch contextualized answers from uploaded documents
Find relevant text chunks from documents based on a query
Perform OCR, translate, and answer questions from documents
Process documents and answer queries
Upload and analyze documents for text extraction and Q&A
Search for similar text in documents
Identify and extract key entities from text
AI powered Document Processing app
Query deep learning documents to get answers
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.