Neo4J as Vector Store with Langchain, OpenAI, and Wikipedia
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Explore how to utilize Neo4J as a vector store in conjunction with Langchain, Wikipedia, and OpenAI embeddings in this 32-minute tutorial video. Learn the process of integrating these powerful tools to enhance your data science and machine learning projects. Gain hands-on experience by following along with the provided Jupyter notebook, which demonstrates the implementation steps and code examples. Discover the potential of combining graph databases, natural language processing, and vector representations to create more efficient and effective data storage and retrieval systems for your AI applications.
Syllabus
Neo4J as Vector Store with langchain OpenAI and Wikipedia #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
Prompt Templates for GPT-3.5 and Other LLMs - LangChainJames Briggs via YouTube Getting Started with GPT-3 vs. Open Source LLMs - LangChain
James Briggs via YouTube Chatbot Memory for Chat-GPT, Davinci + Other LLMs - LangChain
James Briggs via YouTube Chat in LangChain
James Briggs via YouTube LangChain Data Loaders, Tokenizers, Chunking, and Datasets - Data Prep
James Briggs via YouTube