reranking-usvc¶

Helm chart for deploying reranking microservice.

reranking-usvc depends on teirerank, set the TEI_RERANKING_ENDPOINT as teirerank endpoint.

(Option1): Installing the chart separately¶

First, you need to install the teirerank chart, please refer to the teirerank chart for more information.

After you’ve deployted the teirerank chart successfully, please run kubectl get svc to get the tei service endpoint, i.e. http://teirerank.

To install the reranking-usvc chart, run the following:

cd GenAIInfra/helm-charts/common/reranking-usvc
export TEI_RERANKING_ENDPOINT="http://teirerank"
helm dependency update
helm install reranking-usvc . --set TEI_RERANKING_ENDPOINT=${TEI_RERANKING_ENDPOINT}

(Option2): Installing the chart with dependencies automatically¶

cd GenAIInfra/helm-charts/common/reranking-usvc
helm dependency update
helm install reranking-usvc . --set autodependency.enabled=true

Verify¶

To verify the installation, run the command kubectl get pod to make sure all pods are running.

Then run the command kubectl port-forward svc/reranking-usvc 8000:8000 to expose the reranking-usvc service for access.

Open another terminal and run the following command to verify the service if working:

curl http://localhost:8000/v1/reranking \
    -X POST \
    -d '{"initial_query":"What is Deep Learning?", "retrieved_docs": [{"text":"Deep Learning is not..."}, {"text":"Deep learning is..."}]}' \
    -H 'Content-Type: application/json'

Values¶

Key	Type	Default
image.repository	string	`"opea/reranking-tgi"`
TEI_RERANKING_ENDPOINT	string	`""`
service.port	string	`"8000"`