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Ground Truth Engine

[ Deterministic RAG Architecture ]

PythonVector DBFastAPINext.js

The Problem Space

AI hallucination is a critical failure point in enterprise deployments. Standard LLMs generate confident but factually incorrect responses, making them unsuitable for rigid, data-sensitive environments.

Architecture Schematic

System topology visualization goes here.

The Solution Architecture

By implementing a strict Retrieval-Augmented Generation (RAG) pipeline, we anchor the LLM's generative capabilities to a deterministic vector database, ensuring zero-hallucination outputs based solely on verified internal documents.