Find relevant text chunks from documents based on queries
Analyze scanned documents to detect and label content
Parse documents to extract structured information
Find similar sentences in text using search query
Extract and query terms from documents
Upload and query documents for information extraction
Find information using text queries
Parse and extract information from documents
Extract text from images using OCR
AI powered Document Processing app
Search documents using text queries
Answer questions based on provided text
Search and summarize documents with natural language queries
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.