Case study

RAG-Based Profile Matching

RAG matching engine with chunking/embedding pipelines, hybrid skill filtering, and LLM-generated match reasoning.

FastAPIChromaDBsentence-transformersGroqReactTypeScript

Problem

Job–resume matching required semantic retrieval and explainable LLM reasoning over job descriptions.

Built resume chunking/embedding pipelines, hybrid skill filtering, and semantic ranking that produce LLM-generated match reasoning.

TOPOLOGY: HYBRID RAG RETRIEVALFLOW: GROUNDED

Resume pipelines · sentence-transformers

Skills + semantic retrieval · ChromaDB

Match explanations over JDs · Groq

Chunking → hybrid retrieval → grounded LLM match reasoning

RAG matching engine that surfaces ranked candidates with grounded match explanations.