Explore how to build Question Answering (QA) and Retrieval-Augmented Generation (RAG) components using Langchain and your own data in this 19-minute tutorial video. Learn the step-by-step process of integrating custom datasets to create powerful machine learning applications. Gain insights into leveraging generative AI techniques for data science projects. Access the accompanying Jupyter notebook for hands-on practice and implementation of the concepts covered.
Overview
Syllabus
Langchain: QA and RAG components with your own data #machinelearning #generativeai #datascience
Taught by
The Machine Learning Engineer
Related Courses
-
LangChain Chat with Your Data
-
RAG From Scratch - Implementing Retrieval-Augmented Generation with LangChain
-
Fundamentals of AI Agents Using RAG and LangChain
-
Project: Generative AI Applications with RAG and LangChain
-
Langchain: RAG QA Tool with Gemini Pro, Langchain, and Chroma
-
Build LangChain Applications using Vertex AI
