Further refactor

Author: BenConstable9

.vscode/tasks.json

@@ -5,7 +5,7 @@
       "isBackground": true,
       "label": "func: host start",
       "options": {
-        "cwd": "${workspaceFolder}/ai_search_with_adi/adi_function_app"
+        "cwd": "${workspaceFolder}/ai_search_with_adi_function_app"
       },
       "problemMatcher": "$func-python-watch",
       "type": "func"

README.md

@@ -7,8 +7,8 @@ It is intended that the plugins and skills provided in this repository, are adap
 ## Components
 
 - `./text2sql` contains an Multi-Shot implementation for Text2SQL generation and querying which can be used to answer questions backed by a database as a knowledge base.
-- `./ai_search_with_adi` contains code for linking Azure Document Intelligence with AI Search to process complex documents with charts and images, and uses multi-modal models (gpt4o) to interpret and understand these.
-- `./ai_search` provides an easy Python based utility for deploying an index, indexer and corresponding skillset for AI Search.
+- `./ai_search_with_adi_function_app` contains code for linking Azure Document Intelligence with AI Search to process complex documents with charts and images, and uses multi-modal models (gpt4o) to interpret and understand these.
+- `./deploy_ai_search` provides an easy Python based utility for deploying an index, indexer and corresponding skillset for AI Search.
 
 The above components have been successfully used on production RAG projects to increase the quality of responses. The code provided in this repo is a sample of the implementation and should be adjusted before being used in production.
 

adi_function_app/README.md

@@ -38,7 +38,7 @@ The properties returned from the ADI Custom Skill are then used to perform the f
 
 ## Provided Notebooks \& Utilities
 
-- `./adi_function_app` provides a pre-built Python function app that communicates with Azure Document Intelligence, Azure OpenAI etc to perform the Markdown conversion, extraction of figures, figure understanding and corresponding cleaning of Markdown.
+- `./ai_search_with_adi_function_app` provides a pre-built Python function app that communicates with Azure Document Intelligence, Azure OpenAI etc to perform the Markdown conversion, extraction of figures, figure understanding and corresponding cleaning of Markdown.
 - `./rag_with_ai_search.ipynb` provides example of how to utilise the AI Search plugin to query the index.
 
 ## Deploying AI Search Setup
@@ -47,7 +47,7 @@ To deploy the pre-built index and associated indexer / skillset setup, see instr
 
 ## ADI Custom Skill
 
-Deploy the associated function app and required resources. You can then experiment with the custom skill by sending an HTTP request in the AI Search JSON format to the `/adi_2_ai_search` HTTP endpoint.
+Deploy the associated function app and required resources. You can then experiment with the custom skill by sending an HTTP request in the AI Search JSON format to the `/adi_2_deploy_ai_search` HTTP endpoint.
 
 To use with an index, either use the utility to configure a indexer in the provided form, or integrate the skill with your skillset pipeline.
 
@@ -61,7 +61,7 @@ To use with an index, either use the utility to configure a indexer in the provi
 
 #### function_app.py
 
-`./indexer/adi_function_app.py` contains the HTTP entrypoints for the ADI skill and the other provided utility skills.
+`./indexer/ai_search_with_adi_function_app.py` contains the HTTP entrypoints for the ADI skill and the other provided utility skills.
 
 #### adi_2_aisearch