RAG_backend / env.example.txt
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# ClientSphere RAG Backend Configuration
# Rename this file to .env and fill in your values
# LLM Provider (gemini or openai)
LLM_PROVIDER=gemini
# Gemini API Key (get from https://makersuite.google.com/app/apikey)
GEMINI_API_KEY=your_gemini_api_key_here
# OpenAI API Key (optional, if using OpenAI instead)
# OPENAI_API_KEY=your_openai_api_key_here
# Model names (optional, defaults provided)
# GEMINI_MODEL=gemini-pro
# OPENAI_MODEL=gpt-3.5-turbo
# Embedding model (optional, default is all-MiniLM-L6-v2)
# EMBEDDING_MODEL=all-MiniLM-L6-v2
# Chunking settings (optional)
# CHUNK_SIZE=500
# CHUNK_OVERLAP=100
# Retrieval settings (optional)
# TOP_K=6
# SIMILARITY_THRESHOLD=0.35
# Debug mode
DEBUG=true