shaii819

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

Fetch and synthesize book reviews efficiently.

Display the processing status of a book's pipeline.

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

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

Create Obsidian Zettelkasten notes from existing outputs effortlessly.

Extract structured knowledge from book chapters into organized JSON files.

Generate concise chapter summaries in multiple languages.

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

Create multilingual summaries for chapters and books efficiently.

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

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

Mechanically verify extracted quotes against source text using fuzzy matching.

Create atomic Obsidian Zettelkasten notes from processed book data.

Efficiently search the RAG database for relevant information.

Efficiently split chapter text into overlapping chunks for AI processing.

Verify chapter summaries against major topics from source texts.

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

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

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

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

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