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Source Code Processing

To process the source code, you need to install the dependencies and setup the virtual environment.

The source code is processed by the following steps:

  1. The source code is enriched using Jupiter Notebook 01_code_enrichment.ipynb
  2. The enriched source code is indexed using Jupiter Notebook 02_code_indexing.ipynb

Setup the virtual environment

python -m venv ./.venv
cd ./.venv/Scripts
./activate

Install the dependencies

cd ../..
pip install -r processing/requirements.txt

Setup Vector Store

The vector store used for this demo is currently Redis Stack.

You can also use Azure Cache for Redis with the Enterprise tier (RefdiSearch is required). You can find more information here: Azure OpenAI Embeddings QnA.

Setup Redis Stack locally

To setup Redis Stack locally using Docker you can follow the instructions in the Redis Stack documentation.

Setup Redis Stack on Azure Container Instances

To setup Redis Stack on Azure Container Instances, you create a container instance using redis/redis-stack image as shown on the figure below. Be sure to provide enough core and memory to run it smoothly.

Redis Stack on Azure Container Instances

Then you need to expose the port 6379 to be able to connect to it and the port 8001 for Redis Insight.

Redis Stack on Azure Container Instances - Ports

Run the notebooks

Now you are good to go. Set the parameters in the notebooks and run them one after the other.