Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.