Powered by LangGraph & Google Gemini

Multi-Framework
Compliance Expert

A production-grade Agentic RAG System that doesn't just search—it reasons. Audit against NIST CSF 2.0, NIST SP 800-53, ISO 27001, and SOC 2 with verified citations.

LangGraph Google Gemini Qdrant FastAPI Docker

Built on Modern Agentic Architecture

https://audit-ai-frontend-pi.vercel.app/
What is the Recover function?
ISO 27001:2022
Page 18

How It Works

The Modern RAG Pipeline

01

Ingestion

We load 4 compliance frameworks (NIST CSF 2.0, NIST SP 800-53, ISO 27001, SOC 2) and split them into 1000-character semantic chunks.

02

Vector Store

Chunks are embedded using Google Gemini and stored in Qdrant Cloud.

03

Reasoning

Google Gemini synthesizes the answer from valid chunks.

04

Verification

Sources are cited with page-level accuracy.

Vector Search

Powered by Qdrant & Gemini Embeddings for high-precision retrieval.

Core Brain

Autonomous LangGraph Agent

A cyclical graph state machine that manages chat history, self-corrects hallucinations, and intelligently routes non-compliance queries.

Strict Citation Protocol

AuditAI forces the LLM to provide page-level citations for every claim, ensuring zero hallucinations.