shaii819

Efficiently search the RAG database for relevant information.

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

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

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

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

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

Display the processing status of a book's pipeline.

Create Obsidian Zettelkasten notes from existing outputs effortlessly.

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

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

Efficiently split chapter text into overlapping chunks for AI processing.

Verify chapter summaries against major topics from source texts.

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

Create multilingual summaries for chapters and books efficiently.

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

Mechanically verify extracted quotes against source text using fuzzy matching.

Create atomic Obsidian Zettelkasten notes from processed book data.

Generate concise chapter summaries in multiple languages.

Extract structured knowledge from book chapters into organized JSON files.

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

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

Fetch and synthesize book reviews efficiently.