Find relevant text chunks from documents based on queries
Identify and extract key entities from text
Find similar text segments based on your query
Extract text from images using OCR
Spirit.AI
Search information in uploaded PDFs
Extract text from PDF files
Search documents and retrieve relevant chunks
Upload and query documents for information extraction
Find information using text queries
Extract text from documents
Traditional OCR 1.0 on PDF/image files returning text/PDF
Find relevant passages in documents using semantic search
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.