This example shows how to use langchain with express to create a chat bot. The chat bot performance Retrieval Augmented Generation (RAG) to answer questions about using Phoenix and OpenInference with TypeScript / JavaScript.
Our example will export spans data simultaneously on Console and arize-phoenix, however you can run your code anywhere and can use any exporter that OpenTelemetry supports.
Make sure you have OPENAI_API_KEY set as an environment variable.
First, startup the backend as described in the backend README.
Second, run the development server of the frontend as described in the frontend README.
Open http://localhost:3000 with your browser to see the result.
Copy the .env.example file to .env and set your OPENAI_API_KEY.
Ensure that Docker is installed and running. Run the command docker compose up to spin up services for the frontend, backend, and Phoenix. Once those services are running, open http://localhost:3000 to use the chat interface and http://localhost:6006 to view the Phoenix UI. When you’re finished, run docker compose down to spin down the services.
To learn more about Arize Phoenix, take a look at the following resources:
You can check out the Phoenix GitHub repository - your feedback and contributions are welcome!