Debanjum Singh Solanky d136a6be44 Simplify, modularize and add type hints to online search functions
- Simplify content arg to `extract_relevant_info' function. Validate,
  clean the content arg inside the `extract_relevant_info' function

- Extract `search_with_google' function outside the parent function
- Call the parent function a more appropriate `search_online' instead
  of `search_with_google'
- Simplify the `search_with_google' function using list comprehension.
  Drop empty search result fields from chat model context for response
  to reduce cost and response latency

- No need to show stacktrace when unable to read webpage, basic error
  is enough
- Add type hints to online search functions to catch issues with mypy
2024-03-11 18:41:02 +05:30
2024-03-08 17:04:03 +05:30
2024-03-08 17:04:03 +05:30

Khoj Logo

test dockerize pypi

An AI personal assistant for your digital brain


Khoj is an AI application to search and chat with your notes and documents.
It is open-source, self-hostable and accessible on Desktop, Emacs, Obsidian, Web and Whatsapp.
It works with pdf, markdown, org-mode, notion files and github repositories.
It can paint, search the internet and understand speech.


🔎 Search 💬 Chat
Quickly retrieve relevant documents using natural language Get answers and create content from your existing knowledge base
Does not need internet Can be configured to work without internet

Contributors

Cheers to our awesome contributors! 🎉

Made with contrib.rocks.

Description
No description provided
Readme AGPL-3.0 116 MiB
Languages
Python 51%
TypeScript 36.1%
CSS 4.1%
HTML 3.2%
Emacs Lisp 2.4%
Other 3.1%