Explore the creation of a GPT Sales Agent that engages users in friendly conversation to understand their preferences before recommending products. Learn two implementation approaches: one without Retrieval-Augmented Generation (RAG) and another with Vector search and RAG. Discover how to use JSON mode without function calling, simplifying the process. Gain insights into leveraging multiple search terms generated by GPT to query a product database effectively. Access code files for both versions, along with additional resources for GPT API usage and related projects.
Recommending the Right Product to Users - JSON Mode without Function Calling
Overview
Syllabus
Intro into RAG version
Intro into non RAG version
Code review for non RAG code
Code revie for the RAG with muti search code
Playing around with the Agent
Taught by
echohive
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