shaii819

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

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

Fetch and synthesize book reviews efficiently.

Efficiently search the RAG database for relevant information.

Create Obsidian Zettelkasten notes from existing outputs effortlessly.

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

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

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

Generate concise chapter summaries in multiple languages.

Efficiently split chapter text into overlapping chunks for AI processing.

Verify chapter summaries against major topics from source texts.

Mechanically verify extracted quotes against source text using fuzzy matching.

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

Create multilingual summaries for chapters and books efficiently.

Extract structured knowledge from book chapters into organized JSON files.

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

Create atomic Obsidian Zettelkasten notes from processed book data.

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

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

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

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

Display the processing status of a book's pipeline.