YoVDO

Recommending the Right Product to Users - JSON Mode without Function Calling

Offered By: echohive via YouTube

Tags

Conversational AI Courses Vector Search Courses Retrieval Augmented Generation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

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

Related Courses

Pinecone Vercel Starter Template and RAG - Live Code Review Part 2
Pinecone via YouTube
Will LLMs Kill Search? The Future of Information Retrieval
Aleksa Gordić - The AI Epiphany via YouTube
RAG But Better: Rerankers with Cohere AI - Improving Retrieval Pipelines
James Briggs via YouTube
Advanced RAG - Contextual Compressors and Filters - Lecture 4
Sam Witteveen via YouTube
LangChain Multi-Query Retriever for RAG - Advanced Technique for Broader Vector Space Search
James Briggs via YouTube