Replace README.md with README.org. Can be used as notes for testing

README.md

@@ -1,52 +0,0 @@
-Semantic Search
-===
-> Provide natural language search on user personal content like notes, images using ML models
-
-All data is processed locally. User can interface with semantic-search app via [Emacs](./interface/emacs/semantic-search.el), API or Commandline
-
-Dependencies
-----
-  - Python3
-  - [Miniconda](https://docs.conda.io/en/latest/miniconda.html#latest-miniconda-installer-links)
-
-Install
----
-  ```sh
-  git clone https://github.com/debanjum/semantic-search && cd semantic-search
-  conda env create -f environment.yml
-  conda activate semantic-search
-  ```
-
-Run
----
-  Load ML model, generate embeddings and expose API to query specified org-mode files
-  ```sh
-  python3 main.py --input-files ~/Notes/Schedule.org ~/Notes/Incoming.org --verbose
-  ```
-    
-Use
----
-  - *Semantic Search via Emacs*
-    - [Install](https://github.com/debanjum/semantic-search/tree/master/interface/emacs#installation) [semantic-search.el](./interface/emacs/semantic-search.el)
-    - Run `M-x semantic-search "<user-query>"` or Call `C-c C-s`
-  
-  - *Semantic Search via API*
-    - Query: `GET` [http://localhost:8000/search?q="What is the meaning of life"](http://localhost:8000/search?q=%22what%20is%20the%20meaning%20of%20life%22)
-    - Regenerate Embeddings: `GET` [http://localhost:8000/regenerate](http://localhost:8000/regenerate)
-    - [Semantic Search API Docs](http://localhost:8000/docs)
-
-  - *Call Semantic Search via Python Script Directly*
-    ```sh
-    python3 search_types/asymmetric.py \
-    --compressed-jsonl .notes.jsonl.gz \
-    --embeddings .notes_embeddings.pt \
-    --results-count 5 \
-    --verbose \
-    --interactive
-    ```
-
-Acknowledgments
---
-- [MiniLM Model](https://huggingface.co/sentence-transformers/msmarco-MiniLM-L-6-v3) for Asymmetric Text Search. See [SBert Documentation](https://www.sbert.net/examples/applications/retrieve_rerank/README.html)
-- [OpenAI CLIP Model](https://github.com/openai/CLIP) for Image Search. See [SBert Documentation](https://www.sbert.net/examples/applications/image-search/README.html) 
-- Charles Cave for [OrgNode Parser](http://members.optusnet.com.au/~charles57/GTD/orgnode.html)

README.org

@@ -0,0 +1,47 @@
+* Semantic Search
+  /Allow natural language search on user content like notes, images using transformer based models/
+
+  All data is processed locally. User can interface with semantic-search app via [[./interface/emacs/semantic-search.el][Emacs]], API or Commandline
+
+** Dependencies
+   - Python3
+   - [[https://docs.conda.io/en/latest/miniconda.html#latest-miniconda-installer-links][Miniconda]]
+
+** Install
+   #+begin_src shell
+   git clone https://github.com/debanjum/semantic-search && cd semantic-search
+   conda env create -f environment.yml
+   conda activate semantic-search
+   #+end_src
+
+** Run
+   Load ML model, generate embeddings and expose API to query specified org-mode files
+
+   #+begin_src shell
+   python3 main.py --input-files ~/Notes/Schedule.org ~/Notes/Incoming.org --verbose
+   #+end_src
+
+** Use
+   - *Semantic Search via Emacs*
+     - [[https://github.com/debanjum/semantic-search/tree/master/interface/emacs#installation][Install]] [[./interface/emacs/semantic-search.el][semantic-search.el]]
+     - Run ~M-x semantic-search <user-query>~ or Call ~C-c C-s~
+
+   - *Semantic Search via API*
+     - Query: ~GET~ [[http://localhost:8000/search?q=%22what%20is%20the%20meaning%20of%20life%22][http://localhost:8000/search?q="What is the meaning of life"]]
+     - Regenerate Embeddings: ~GET~ [[http://localhost:8000/regenerate][http://localhost:8000/regenerate]]
+     - [[http://localhost:8000/docs][Semantic Search API Docs]]
+
+   - *Call Semantic Search via Python Script Directly*
+     #+begin_src shell
+     python3 search_types/asymmetric.py \
+     --compressed-jsonl .notes.jsonl.gz \
+     --embeddings .notes_embeddings.pt \
+     --results-count 5 \
+     --verbose \
+     --interactive
+     #+end_src
+
+** Acknowledgments
+   - [[https://huggingface.co/sentence-transformers/msmarco-MiniLM-L-6-v3][MiniLM Model]] for Asymmetric Text Search. See [[https://www.sbert.net/examples/applications/retrieve_rerank/README.html][SBert Documentation]]
+   - [[https://github.com/openai/CLIP][OpenAI CLIP Model]] for Image Search. See [[https://www.sbert.net/examples/applications/image-search/README.html][SBert Documentation]]
+   - Charles Cave for [[http://members.optusnet.com.au/~charles57/GTD/orgnode.html][OrgNode Parser]]