Test search uses ancestor headings as context for improved results

- Update test data to add deeper outline hierarchy for testing
  hierarchy as context
- Update collateral tests that need count of entries updated, deleted
  asserts to be updated

tests/conftest.py

@@ -386,6 +386,44 @@ def sample_org_data():
 def get_sample_data(type):
     sample_data = {
         "org": {
+            "elisp.org": """
+* Emacs Khoj
+  /An Emacs interface for [[https://github.com/khoj-ai/khoj][khoj]]/
+
+** Requirements
+   - Install and Run [[https://github.com/khoj-ai/khoj][khoj]]
+
+** Installation
+*** Direct
+     - Put ~khoj.el~ in your Emacs load path. For e.g ~/.emacs.d/lisp
+     - Load via ~use-package~ in your ~/.emacs.d/init.el or .emacs file by adding below snippet
+       #+begin_src elisp
+         ;; Khoj Package
+         (use-package khoj
+           :load-path "~/.emacs.d/lisp/khoj.el"
+           :bind ("C-c s" . 'khoj))
+       #+end_src
+
+*** Using [[https://github.com/quelpa/quelpa#installation][Quelpa]]
+     - Ensure [[https://github.com/quelpa/quelpa#installation][Quelpa]], [[https://github.com/quelpa/quelpa-use-package#installation][quelpa-use-package]] are installed
+     - Add below snippet to your ~/.emacs.d/init.el or .emacs config file and execute it.
+       #+begin_src elisp
+         ;; Khoj Package
+         (use-package khoj
+           :quelpa (khoj :fetcher url :url "https://raw.githubusercontent.com/khoj-ai/khoj/master/interface/emacs/khoj.el")
+           :bind ("C-c s" . 'khoj))
+       #+end_src
+
+** Usage
+   1. Call ~khoj~ using keybinding ~C-c s~ or ~M-x khoj~
+   2. Enter Query in Natural Language
+      e.g "What is the meaning of life?" "What are my life goals?"
+   3. Wait for results
+      *Note: It takes about 15s on a Mac M1 and a ~100K lines corpus of org-mode files*
+   4. (Optional) Narrow down results further
+      Include/Exclude specific words from results by adding to query
+
+""",
             "readme.org": """
 * Khoj
   /Allow natural language search on user content like notes, images using transformer based models/
@@ -401,7 +439,7 @@ def get_sample_data(type):
    git clone https://github.com/khoj-ai/khoj && cd khoj
    conda env create -f environment.yml
    conda activate khoj
-   #+end_src"""
+   #+end_src""",
         },
         "markdown": {
             "readme.markdown": """