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NexusAI

An enterprise RAG platform that ingests, understands, and answers questions across millions of unstructured documents with citation-level accuracy.

Source: Doc #42
Confidence: 97%
95%

The Problem

A Fortune 500 insurance company had over 12 million policy documents spread across legacy systems, SharePoint, and email archives. Claims adjusters spent an average of 45 minutes per query manually searching for relevant precedents. Traditional keyword search returned thousands of irrelevant results, and existing AI tools hallucinated policy details — a compliance disaster waiting to happen.

Our Approach

01

Data Audit

Catalogued all document types, formats, and access patterns. Built custom parsers for 14 different legacy formats.

02

RAG Pipeline Design

Semantic chunking, hybrid search (vector + BM25), and a citation engine that traces every answer back to source documents.

03

Guardrail Testing

500+ adversarial test cases to ensure zero hallucination on policy-critical queries before production rollout.

The Solution

NexusAI is a conversational search platform that lets claims adjusters ask natural-language questions and receive precise, cited answers in under 3 seconds. Every response includes clickable source citations, confidence scores, and related document recommendations. The system supports on-premise deployment for full data sovereignty.

Tech Stack
PythonLangChainPineconeOpenAI GPT-4Next.jsFastAPIDockerAzure

The Impact

Measurable results that speak for themselves.

95%
Accuracy rate
10x
Faster search
12M
Documents indexed
<3s
Response time

Let's build something like this

Ready to turn your idea into a production-grade product?