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RAG-Based HLD Document Generation System

Architected a production RAG system on OCI Generative AI that automates High-Level Design document generation — cutting generation time by 50-70% while controlling hallucinations via grounded prompting.

OCIAI/MLLangChainOracle DB 23ai

The Problem

Enterprise delivery teams were spending weeks manually authoring HLD documents for each client engagement, leading to inconsistency and delays in project kick-off.

The Solution

Built a RAG pipeline using OCI Gen AI (LLM inference), Oracle DB 23ai vector search for knowledge base retrieval, LangChain for orchestration, and a Next.js + FastAPI production stack for the interface.

Results

40%Faster KB retrieval latency
50-70%Reduction in HLD generation time
~0Hallucination rate with grounded prompting

Tech Stack

PythonLangChainLangGraphOCI Gen AIOracle DB 23aiNext.jsFastAPI
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