Enterprise LLM Reasoning Graph
LLM Reasoning Graph and Semantic Search System for Corporate Compliance
The Opportunity
Unstructured compliance documents and logistics logs were causing severe delays, with employees manually cross-referencing global shipping rules across disjointed legacy systems.
The Methodology
Discovery & Planning
Comprehensive analysis of requirements, user needs, and technical constraints.
Development & Execution
Prototyped a multi-agent RAG reasoning architecture with semantic graphs, parsing thousands of complex shipping manuals and converting relationships into queryable vector spaces.
Testing & Launch
Rigorous quality assurance, performance optimization, and seamless deployment.
The Solution
Multi-agent LLM reasoning pipeline
Multi-agent LLM reasoning pipeline engineered with LangChain.
Interactive SVG node-graph visualizer to explore document pathways.
Interactive SVG node-graph visualizer to explore document pathways.
FastAPI backend microservices streaming answers selectively.
FastAPI backend microservices streaming answers selectively.
Vector database indexing mapping relationships in real-time.
Vector database indexing mapping relationships in real-time.
Tech Stack
Modern technologies and frameworks used to build this solution.