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System_Record // GROUND-TRUTH-ENGINE

Ground Truth Engine

[ Deterministic RAG Architecture ]

01. 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.

IN_QUERYSEM_ROUTERV_SHARD_01V_SHARD_03SYNTHESISDET_OUT

Topology Schematic

Systems connectivity verified. Flow conditions optimal.

02. 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.

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System_Telemetry

  • Status Active
  • Versionv1.2.4
  • Build_Hash0x8F9A2C

Tech_Arsenal

PythonVector DBFastAPINext.js