shaii819

Efficiently split chapter text into overlapping chunks for AI processing.

Create sqlite-vec RAG databases for efficient book content search.

Parse EPUB files into structured chapter data and metadata with language detection.

Ensure review synthesis accuracy by verifying claims against raw source reviews.

Synthesize book reviews into a comprehensive meta-review from multiple sources.

Automate the full pipeline for processing EPUB files, from parsing to quality control.

Efficiently search the RAG database for relevant information.

Extract key elements from text, including facts, examples, and quotes.

Fetch and synthesize book reviews efficiently.

Verify chapter summaries against major topics from source texts.

Transform EPUB books into structured notes and summaries for efficient study and review.

Create atomic Obsidian Zettelkasten notes from processed book data.

Orchestrate quality control with parallel sub-agents and automated retries.

Create multilingual summaries for chapters and books efficiently.

Extract structured knowledge from book chapters into organized JSON files.

Build or rebuild an SQLite vector RAG database for efficient data retrieval.

Generate concise chapter summaries in multiple languages.

Display the processing status of a book's pipeline.

Mechanically verify extracted quotes against source text using fuzzy matching.

Create Obsidian Zettelkasten notes from existing outputs effortlessly.

Set up the reading-assistant environment with ease by creating a virtual environment and installing dependencies.

Spot-check extracted items for correct categorization to ensure data accuracy.