About Secure RAG Agent:
Enterprise AI workflows demand both precision and control. This playbook enables secure, real-time retrieval by dynamically combining internal knowledge bases with external LLMs such as GPT or Gemini. Designed for compliance-first environments, it ensures every query is routed, filtered, and answered with full transparency and auditability.

How This Works:

• Dual Query Routing: Blends internal vector DBs and public LLMs for richer, more reliable results.

• Semantic Chunking: Processes documents intelligently with context-aware indexing.

• Role-Based Privacy Filters: Dynamically hides sensitive info based on user permissions.

• Active Feedback Learning: Continuously improves with SME (subject matter expert) feedback.

• API + UI-Ready: Easily integrate with frontends or backend pipelines.

Getting Started:
Connect your internal documents, select an embedding model, and link your preferred LLM API. Go live in less than a day.