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A Retrieval-Augmented Threat Analysis Framework with Meta-Evaluation and Policy-Aware Reasoning

AegisRAG is a user-friendly research assistant designed to simplify working with PDFs. Upload, manage, and query your documents through an interactive chat with no technical skills required. Features include PDF-centric insights, smart chat history, and customizable interactions, all in an intuitive interface.

A secure AI system that reads complex documents and answers questions using only verified information from those documents, with source citations and confidence scoring.

AegisRAG is a platform where distinct users (tenants) can create isolated "Workspaces." Within a workspace, a user can upload documents, choose an embedding model, select an LLM (Gemini or ChatGPT), and interact with an AI Agent.

AegisRAG-POE Proof-carrying retrieval system for long-context, verifiable LLM reasoning. Combines declarative planning, deterministic execution, and a belief graph to produce citation-backed answers. Mitigates recency bias and ensures every claim is evidence-linked and verifiable.

Role-based RAG system that delivers relevant knowledge from documents securely, showing each user only what they’re allowed to access.