Easily ask questions about your GitHub repository using RAG and Elasticsearch as a Vector database.

1. Install Required Libraries:

pip install -r requirements.txt

2. Set Up Environment Variables GITHUB_TOKEN, GITHUB_OWNER, GITHUB_REPO, GITHUB_BRANCH, ELASTIC_CLOUD_ID, ELASTIC_USER, ELASTIC_PASSWORD, ELASTIC_INDEX, OPENAI_API_KEY

3. Index your data and create the embeddings by running:

python index.py

An Elasticsearch index will be generated, housing the embeddings. You can then connect to your ESS deployment and run search query against the index, you will see a new field named embeddings.

4. Ask questions about your codebase by running:

python query.py