Multi-Agent RAG System for Automotive Intelligence

An autonomous multi-agent retrieval-augmented generation (RAG) system built to query and extract insights from extensive automotive technical manuals.

• Implemented agent orchestration using LangChain and LLM APIs.

• Built vector indexing and semantic retrieval pipelines using FAISS.