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thiswillbeyourgithub / wdoc

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

Why this job: says: rag; topics: rag

What it does

  • 15+ filetypes. also supports combination to load recursively or define complex heterogenous corpus like a list of files, list of links, using regex, youtube playlists etc. See Filestypes and Recursive Filetypes. All filetype can be seamless
  • 100+ LLMs and many embeddings. Supports any LLM by OpenAI, Mistral, Claude, Ollama, Openrouter, etc. thanks to litellm. The list of supported embeddings engine can be found here but includes at least Openai (or any openai API compatible mod
  • Local and Private LLM. When in private mode, measures are taken to make sure no data leaves your computer and goes to an LLM provider: no API keys are used, all api_base are user set, cache are isolated from the rest, outgoing connections a
  • Web Search. Preliminary support for web search using DuckDuckGo. Just do uvx wdoc web "How is Nvidia today this month?"

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 28 days ago
Stars
549
On GitHub
Licence
AGPL-3.0
Share-alike, even hosted
Downloads for
None listed
No release files
Latest version
5.2.2
Released 2 months ago
Built with
Python
96% of the code

Is it looked after?

Contributors
2
Last 90 days
Issues
95% closed
1 still open
Pull requests
1 merged
1 waiting
Releases
108
7 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 96%
  • Shell 4%

Topics

  • langchain
  • llm
  • news
  • parser
  • pdf
  • python
  • question-answering
  • rag
  • summarizer

Project record

  • JobRAG and search
  • StatusListed
  • Commits4,935
  • Forks47
  • Watching5
  • Stars in 28 days+6
  • CreatedJun 24, 2023
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

Type to search.

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