Faced with overloaded job listings and low offer rates, a group of students built “WenZhi,” an AI‑driven job‑matching app that leverages Baidu’s ERNIE SDK, generative recommendation, and workflow orchestration to deliver personalized role suggestions and interview advice within minutes.
The AI‑powered job‑matching application built with Baidu’s ERNIE SDK, created by PaddlePaddle expert Gao Fuzhi, intelligently parses a candidate’s resume, matches them to suitable positions, supplies detailed salary, location and benefit data, analyzes job requirements, and offers personalized skill and interview guidance, aiming to improve recruitment efficiency for both seekers and employers.
The article explains Retrieval-Augmented Generation (RAG), its workflow, advantages, comparison with fine-tuning, and provides a step-by-step implementation using Baidu's ERNIE SDK, LangChain, and ChromaDB to build a personal knowledge base that answers queries with retrieved context.
