Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation with Contextual Awareness for Intelligent Systems. With the increasing need for domain-specific, real-time, and context-aware responses, traditional AI systems fall short in providing accurate and actionable outputs.

RAG System Workflow

To address these challenges, this paper presents a novel hybrid architecture integrating Retrieval-Augmented Generation (RAG) with a context-aware query processing system. The architecture uses local vector databases, external knowledge bases, and advanced content moderation layers to deliver safe, reliable, and data-rich responses. This system combines the power of structured and unstructured data retrieval with LLMs to support multi-modal queries while ensuring compliance with ethical and safety standards.