AI Deploy Network
EducationAI AgentAI Case Study

RAG-powered portfolio assistant for technical documentation

AI Deploy Network Approved

A fully local RAG system that answers questions about technical portfolios, codebases, and documentation — all running locally with no cloud dependencies.

Ivan SazontovBy Ivan Sazontov
Chapter 01

The Business Challenge

The business situation the organisation faced before the project began.

Teams spend hours manually searching through documentation, code, and project files to answer questions.

Chapter 03

How the Solution Was Delivered

Discovery, design, development, testing and rollout — the journey, not the tooling.

  1. 1Data audit: analyzed document types and structure
  2. 2Chunking strategy design: semantic + AST parsing for code
  3. 3Prototype with sample data using FAISS + Ollama
  4. 4Production rollout: FastAPI + Docker Compose deployment
Business Impact

Business Outcomes & Impact

The measurable outcomes from the underlying AI Deployment — with the story behind them.

Hours Automated
4
Cost Savings
Currency not specified
Revenue Impact
Currency not specified
Measurable Business Outcome

Reduced document retrieval time from hours of manual search to <2 seconds per query across 8,361 semantic chunks.

Business Outcome Categories

Productivity ImprovementKnowledge ManagementTime SavingsQuality ImprovementAI Performance Improvement

The story behind the numbers

Reduced document retrieval time from hours to <2 seconds per query; eliminated cloud API costs; enabled instant access to technical knowledge.