retriever-usvc

Helm chart for deploying Retriever microservice.

retriever-usvc depends on redis and tei, you should set these endpoints before start.

(Option1): Installing the chart separately

First, you need to install the tei and redis-vector-db chart, refer to the tei and redis-vector-db for more information.

After you’ve deployed the tei and redis-vector-db chart successfully, run kubectl get svc to get the service endpoint and URL respectively, i.e. http://tei, redis://redis-vector-db:6379.

To install retriever-usvc chart, run the following:

cd GenAIInfra/helm-charts/common/retriever-usvc
export REDIS_URL="redis://redis-vector-db:6379"
export TEI_EMBEDDING_ENDPOINT="http://tei"
helm dependency update
helm install retriever-usvc . --set REDIS_URL=${REDIS_URL} --set TEI_EMBEDDING_ENDPOINT=${TEI_EMBEDDING_ENDPOINT}

(Option2): Installing the chart with dependencies automatically

cd GenAIInfra/helm-charts/common/retriever-usvc
helm dependency update
helm install retriever-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/retriever-usvc 7000:7000 to expose the retriever-usvc service for access.

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

export your_embedding=$(python3 -c "import random; embedding = [random.uniform(-1, 1) for _ in range(768)]; print(embedding)")
curl http://localhost:7000/v1/retrieval  \
    -X POST \
    -d "{\"text\":\"What is the revenue of Nike in 2023?\",\"embedding\":${your_embedding}}" \
    -H 'Content-Type: application/json'

Values

Key	Type	Default	Description
image.repository	string	"opea/retriever-tgi"
service.port	string	"7000"
REDIS_URL	string	""
TEI_EMBEDDING_ENDPOINT	string	""