docs: add .env.example for contributor setup

env.example

@@ -0,0 +1,34 @@
+# Kubeflow docs-agent environment configuration
+# Copy this file to .env and fill in your values
+# cp .env.example .env
+
+# LLM Serving 
+# KServe inference endpoint URL
+KSERVE_URL=http://llama.docs-agent.svc.cluster.local/openai/v1/chat/completions
+
+# Model name registered in KServe
+MODEL=llama3.1-8B
+
+# API Server
+# Port for the API server (WebSocket or HTTPS)
+PORT=8000
+
+# Milvus Vector Database
+MILVUS_HOST=my-release-milvus.docs-agent.svc.cluster.local
+MILVUS_PORT=19530
+MILVUS_COLLECTION=docs_rag
+
+# Embedding Model
+EMBEDDING_MODEL=sentence-transformers/all-mpnet-base-v2
+
+# HuggingFace
+# Required to download the LLM model from HuggingFace Hub
+HF_TOKEN=your_huggingface_token_here
+
+# Pipeline Parameters
+REPO_OWNER=kubeflow
+REPO_NAME=website
+DIRECTORY_PATH=content/en
+CHUNK_SIZE=1000
+CHUNK_OVERLAP=100
+BASE_URL=https://www.kubeflow.org/docs