khoj/tests/data/org/main_readme.org at c8e07e86e461290837e7e33cea27008e1e8d65fc

klbr/khoj

mirror of https://github.com/khoaliber/khoj.git synced 2026-03-02 13:18:18 +00:00

Files

Debanjum dcfa4288c4 Deep link to org-mode entries. Deep link by line number in uri

Use url fragment schema for deep link URIs, borrowing from URL/PDF
schemas. E.g file:///path/to/file.txt#line=<line_no>&#page=<page_no>

Compute line number during (recursive) org-mode entry chunking.

Thoroughly test line number in URI maps to line number of chunk in
actual org mode file.

This deeplink URI with line number is passed to llm as context to
better combine with line range based view file tool.

Grep tool already passed matching line number. This change passes
line number in URIs of org entries matched by the semantic search tool

2025-07-03 17:38:34 -07:00

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Khoj

Khoj

Allow natural language search on user content like notes, images using transformer based models

All data is processed locally. User can interface with khoj app via Emacs, API or Commandline

Dependencies id:123-421-121-12 TAG1 @TAG1_1

Python3
Miniconda

Install

git clone https://github.com/khoj-ai/khoj && cd khoj
conda env create -f environment.yml
conda activate khoj

Run

Load ML model, generate embeddings and expose API to query specified org-mode files

python3 main.py --input-files ~/Notes/Schedule.org ~/Notes/Incoming.org --verbose

Use

Khoj via Emacs link to khoj website @EMACS CLIENT_1 KHOJ

Install khoj.el
Run M-x khoj <user-query> or Call C-c C-s

Khoj via API

Query: GET http://localhost:42110/api/search?q="What is the meaning of life"
Update Index: GET http://localhost:42110/api/update
Khoj API Docs

Call Khoj via Python Script Directly

python3 search_types/asymmetric.py \
--compressed-jsonl .notes.jsonl.gz \
--embeddings .notes_embeddings.pt \
--results-count 5 \
--verbose \
--interactive

Acknowledgments

MiniLM Model for Asymmetric Text Search. See SBert Documentation
OpenAI CLIP Model for Image Search. See SBert Documentation
Charles Cave for OrgNode Parser

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