Data & Research · GitHub ·514 ★

wdoc

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

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Details

Author
thiswillbeyourgithub
Category
Data & Research
Platform
GitHub
Framework
langchain
Language
python
Stars
514
First indexed
2026-05-15
Last active
2026-03-08
Directory sync
2026-05-15
@thiswillbeyourgithub

Overview

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

Quick start

git

git clone https://github.com/thiswillbeyourgithub/wdoc

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What wdoc can do

llmragnews
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • News — news task automation.

Frequently asked questions

What is wdoc?
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
How do I install wdoc?
Use git: `git clone https://github.com/thiswillbeyourgithub/wdoc`. Full setup details on the source page linked above.
Is wdoc open source?
wdoc is published on GitHub.
What are alternatives to wdoc?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for wdoc is sourced from GitHub, published by thiswillbeyourgithub.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.