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1. Edit the RetrievalAugmentedGeneration/examples/simple_rag_api_catalog/chains.py file and add the following statements after the import statements.

   The following statements use the FAISS vector store for the embeddings that the NVIDIA API Catalog model creates.

   :language: python
   :start-after: start-ingest-faiss
   :end-before: end-ingest-faiss
   

2. Add the import statements for libraries:

   :language: python
   :start-after: start-ingest-imports
   :end-before: end-ingest-imports
   

3. Update the ingest_docs method with the following statements:

   :language: python
   :start-after: start-ingest-docs-method
   :end-before: end-ingest-docs-method
   

Using the containers has one additional step this time: exporting your NVIDIA API key as an environment variable.

1. Build the container for the Chain Server:

   $ docker compose --env-file deploy/compose/compose.env -f deploy/compose/simple-rag-api-catalog.yaml build chain-server

2. Export your NVIDIA API key in an environment variable:

   $ export NVIDIA_API_KEY=nvapi-...

3. Run the containers:

   $ docker compose --env-file deploy/compose/compose.env -f deploy/compose/simple-rag-api-catalog.yaml up -d

You can access the Chain Server with a URL like http://localhost:8081.

• Confirm the ingest_docs method runs by uploading a sample document, such as the README from the repository:

  $ curl http://localhost:8081/documents -F "file=@README.md"

  Example Output

  :language: json
  

  View the logs for the Chain Server to see the logged message from the method:

  $ docker logs chain-server

  Example Output

  :language: output
  

• You can stop the containers by running the docker compose -f deploy/compose/simple-rag-api-catalog.yaml down command.