LightRAG/k8s-deploy/install_lightrag_dev.sh
2025-05-19 18:11:55 +08:00

57 lines
1.9 KiB
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#!/bin/bash
NAMESPACE=rag
# Get the directory where this script is located
SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"
if [ -z "$OPENAI_API_KEY" ]; then
echo "OPENAI_API_KEY environment variable is not set"
read -p "Enter your OpenAI API key: " OPENAI_API_KEY
if [ -z "$OPENAI_API_KEY" ]; then
echo "Error: OPENAI_API_KEY must be provided"
exit 1
fi
export OPENAI_API_KEY=$OPENAI_API_KEY
fi
if [ -z "$OPENAI_API_BASE" ]; then
echo "OPENAI_API_BASE environment variable is not set, will use default value"
read -p "Enter OpenAI API base URL (press Enter to skip if not needed): " OPENAI_API_BASE
export OPENAI_API_BASE=$OPENAI_API_BASE
fi
required_env_vars=("OPENAI_API_BASE" "OPENAI_API_KEY")
for var in "${required_env_vars[@]}"; do
if [ -z "${!var}" ]; then
echo "Error: $var environment variable is not set"
exit 1
fi
done
echo "Environment variables check passed"
if ! kubectl get namespace rag &> /dev/null; then
echo "creating namespace 'rag'..."
kubectl create namespace rag
fi
helm upgrade --install lightrag-dev $SCRIPT_DIR \
--namespace rag \
--set-string env.LIGHTRAG_KV_STORAGE=JsonKVStorage \
--set-string env.LIGHTRAG_VECTOR_STORAGE=NanoVectorDBStorage \
--set-string env.LIGHTRAG_GRAPH_STORAGE=NetworkXStorage \
--set-string env.LIGHTRAG_DOC_STATUS_STORAGE=JsonDocStatusStorage \
--set-string env.LLM_BINDING=openai \
--set-string env.LLM_MODEL=gpt-4o-mini \
--set-string env.LLM_BINDING_HOST=$OPENAI_API_BASE \
--set-string env.LLM_BINDING_API_KEY=$OPENAI_API_KEY \
--set-string env.EMBEDDING_BINDING=openai \
--set-string env.EMBEDDING_MODEL=text-embedding-ada-002 \
--set-string env.EMBEDDING_DIM=1536 \
--set-string env.EMBEDDING_BINDING_API_KEY=$OPENAI_API_KEY
# Wait for LightRAG pod to be ready
echo "Waiting for LightRAG pod to be ready..."
kubectl wait --for=condition=ready pod -l app.kubernetes.io/instance=lightrag-dev --timeout=60s -n rag