Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced Search
Taha GÖÇER
About this course
This course provides a comprehensive introduction to using vector search and embeddings to enhance your data management with large language models, featuring step-by-step guidance on developing three practical projects including a semantic movie search application, a question-answering app using your data, and customizing a chat GPT clone for curriculum inquiries.
What you should already know
Basic knowledge of Python or JavaScript and familiarity with concepts of machine learning will be beneficial for the course.
What you will learn
By the end of the course, learners will be equipped to implement vector search techniques and create AI-powered applications that efficiently retrieve and leverage data using embeddings.