Calibre RAG
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Augments Calibre libraries with retrieval-augmented generation capabilities for project-based vector search and contextual conversations.
About
This tool transforms your Calibre ebook library into a powerful knowledge base using Retrieval-Augmented Generation (RAG). It enables advanced semantic search within your books, allowing you to create isolated 'projects' for different research contexts. Leveraging technologies like FAISS for efficient vector search, Xenova Transformers for local embeddings, and Tesseract for robust OCR, it processes various ebook formats to provide deep, contextual understanding and conversation capabilities over your entire digital collection, specifically optimized for Windows environments.
Key Features
- Multi-Format Support: Process books in various formats (EPUB, PDF, MOBI, etc.)
- Windows Compatible: Designed specifically for Windows environments
- Project-Based Organization: Create isolated vector search projects for different contexts
- RAG-Enhanced Search: Vector-based semantic search using FAISS and Transformers
- OCR Capabilities: Extract text from images and scanned PDFs using Tesseract
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Use Cases
- Performing semantic searches across your Calibre ebook library based on meaning, not just keywords.
- Organizing and searching specific book collections within isolated RAG projects for focused research.
- Extracting and querying text from diverse ebook formats, including scanned PDFs and images via OCR.
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