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Enterprise AI

Knowledge Nexus

A multi-agent RAG onboarding assistant that helped new engineers navigate fragmented enterprise knowledge.

Tech Intern at Eli Lilly and Company · May 2025 – August 2025

Public descriptions omit internal repositories, enterprise sources, credentials, prompts, endpoints, and proprietary data.

Problem

Enterprise onboarding knowledge was fragmented and difficult to retrieve through a single workflow.

My contribution

Built Python FastAPI backend services supporting a multi-agent RAG onboarding assistant, including REST APIs, tool orchestration, containerized backend services, knowledge ingestion and retrieval, and real-time tool execution.

Simplified architecture

Simplified: a multi-agent RAG assistant orchestrates FastAPI-based tools and REST APIs for real-time onboarding support, running in containerized backend services.

Outcomes

  • Reduced onboarding time by 40 percent.
  • Maintained under 2-second p95 latency.
  • Achieved an 87 percent retrieval hit rate.

Technologies

PythonFastAPIMulti-agent systemsRAGREST APIsDocker