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bcbee05a9ebd994dcb9fb7a7567817f27fa2a5da
Improves readability as name has closer match to underlying constructs - Entry is any atomic item indexed by Khoj. This can be an org-mode entry, a markdown section, a PDF or Notion page etc. - Embeddings are semantic vectors generated by the search ML model that encodes for meaning contained in an entries text. - An "Entry" contains "Embeddings" vectors but also other metadata about the entry like filename etc.
An AI personal assistant for your digital brain
Khoj is a desktop application to search and chat with your notes, documents and images.
It is an offline-first, open source AI personal assistant accessible from your Emacs, Obsidian or Web browser.
It works with jpeg, markdown, notion, org-mode, pdf files and github repositories.
Languages
Python
51%
TypeScript
36.1%
CSS
4.1%
HTML
3.2%
Emacs Lisp
2.4%
Other
3.1%

