thiswillbeyourgithub/wdoc
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
Implements a multi-stage RAG pipeline using LangChain and LiteLLM that combines cheap and expensive LLM calls for high-recall document retrieval, then hierarchically aggregates answers via semantic batching to produce sourced markdown output with exact document citations. Supports 15+ filetypes simultaneously (PDFs, EPUBs, Anki decks, audio, video, web pages) and exposes both a CLI, Python library, and Gradio web UI for flexible integration with any LLM provider or local models.
510 stars and 840 monthly downloads. Actively maintained with 4 commits in the last 30 days. Available on PyPI.
Stars
510
Forks
37
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 08, 2026
Monthly downloads
840
Commits (30d)
4
Dependencies
49
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