Creating a QA Tool Using Langchain, OpenAI, and Neo4J
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Explore the creation of a powerful Question Answering tool by combining Langchain, Neo4J, and OpenAI models in this 20-minute video tutorial. Learn how to leverage these technologies to build an advanced QA system for data science and machine learning applications. Discover the step-by-step process of integrating Langchain's natural language processing capabilities with Neo4J's graph database and OpenAI's language models. Access the accompanying Jupyter notebook on GitHub for hands-on practice and deeper understanding. Gain insights into the potential of graph databases in natural language querying through an additional resource linking GraphDB and Langchain.
Syllabus
Langchain: QA tool with Langchain OpenAI and Neo4J #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
Data AnalysisJohns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera