Automotive RAG Assistant

A retrieval-heavy assistant designed to answer operational questions from source context and ranking logic.

Market US
System Multi-source retrieval
AI layer RAG

The work

The assistant answers questions about cars, service, orders, and part compatibility from several internal sources. The retrieval layer is the product’s backbone.

What mattered

Automotive questions are full of ambiguity. The system needed query processing, ranking, and evidence handling that could survive messy real-world phrasing.

What shipped

We built hybrid search, multi-stage ranking, HyDE-style query expansion, and the agentic flow that connects retrieval to useful answers.