RAG with multiple types of loaders like text, pdf and web
Find similar sentences in text using search query
Process and extract text from receipts
Search and summarize documents with natural language queries
Fetch contextualized answers from uploaded documents
Search for similar text in documents
Analyze PDFs and extract detailed text content
Perform OCR, translate, and answer questions from documents
Extract text from documents or images
Process text to extract entities and details
Spirit.AI
Search documents using semantic queries
OCR for Arabic Language with QR code and Barcode Detection
Multi Loader RAG is an AI-powered tool designed to extract text from scanned documents. It leverages Retrieval-Augmented Generation (RAG) technology to search documents for answers. The application supports multiple types of loaders, including text, PDF, and web content, making it versatile for various document handling tasks.
• Multiple Loader Support: Handles text files, PDF documents, and web content seamlessly.
• Intelligent Search: Uses AI to efficiently search for specific information within documents.
• Scanned Document Compatibility: Capable of extracting text from scanned documents for analysis.
• Cross-Document Search: Enables searching across multiple documents to find relevant answers.
• Customizable: Allows users to fine-tune search parameters for better results.
• Efficient Processing: Designed for fast and accurate text extraction and retrieval.
What types of documents does Multi Loader RAG support?
Multi Loader RAG supports text files (.txt), PDF documents (.pdf), and web content.
Can I search across multiple documents at once?
Yes, Multi Loader RAG allows you to search across multiple documents to find the most relevant answers.
How accurate is Multi Loader RAG with scanned documents?
Multi Loader RAG is designed to work with scanned documents and provides high accuracy in text extraction and search, though results may vary based on document quality.