Find relevant text chunks from documents based on queries
Search documents using semantic queries
Search information in uploaded PDFs
Upload images for accurate English / Latin OCR
Process and extract text from receipts
Identify and extract key entities from text
Extract text from images
Find similar text segments based on your query
Extract and query terms from documents
Extract named entities from text
Search documents using text queries
Extract text from images with OCR
Fetch contextualized answers from uploaded documents
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.