feat: implement RAG pipeline with Qdrant vector store, Groq LLM integration, and structured prompt management
bbd91de | import logging | |
| from groq import Groq | |
| from config import GROQ_API_KEY | |
| logger = logging.getLogger(__name__) | |
| logger.info("Initializing Groq LLM Client...") | |
| groq_client = Groq(api_key=GROQ_API_KEY) | |