Explore the integration of Neo4J Graph Databases with Langchain and OpenAI in this 28-minute video tutorial. Learn how to leverage graph databases for data science and machine learning applications. Follow along with a practical demonstration using a provided Jupyter notebook to gain hands-on experience in working with these powerful tools. Discover techniques for combining the strengths of graph databases, language models, and AI to enhance your data science projects.
Langchain: Graphs with OpenAI and Neo4J - Data Science and Machine Learning
The Machine Learning Engineer via YouTube
Overview
Syllabus
Langchain: Graphs with OpenAI and Neo4J #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
-
Creating a QA Tool Using Langchain, OpenAI, and Neo4J
-
Document Similarity Using Langchain, OpenAI Embeddings, and Neo4J
-
Neo4J as Vector Store with Langchain, OpenAI, and Wikipedia
-
Document Similarity: Langchain OpenAI Embeddings and Neo4J in Spanish
-
Langchain Graphs with OpenAI and Neo4J in Spanish
-
LangChain MasterClass: Build 15 LLM Apps with Python
