llamaindex-rag-demo

Using OpenInference and OpenTelemetry to send logs and traces from your LlamaIndex RAG app to Signoz

Getting Started

First, install all the necessary dependencies for the backend:

Optional Create Python virtual env:

python -m venv myenv && \
source myenv/bin/activate

Then:

pip install -r requirements.txt

Install all the necessary dependencies for the frontend:

cd rag-frontend && \
npm install

Next create a .env file with the following(in root directory):

OPENAI_API_KEY=<your-openai-api-key>
SIGNOZ_INGESTION_KEY=<your-signoz-ingestion-key>

Run the backend:

uvicorn main:app --reload

Wait for the docs to be fully ingested and for the application startup to complete:

Run the frontend:

cd rag-frontend && \
npm start

Open http://localhost:3000 with your browser to see the result and interact with the application.

After using the application, you should be able to view traces and logs in your SigNoz Cloud platform:

Traces

Logs