RAG System and GPT-5 Integration for Recommendations

Populate your PostgreSQL database with reference data like quantum network troubleshooting guides, security protocols, and mitigation strategies. Using LlamaIndex, build a Retrieval Augmented Generation (RAG) system that can semantically search this knowledge base. Integrate the GPT-5 API (via Fireworks) to take detected anomalies from your model, query the LlamaIndex RAG system for context, and generate comprehensive, actionable recommendations for network operators. Ensure the recommendations are relevant to the specific anomaly type (noise vs. eavesdropping).