Accelerating GenAI to Production with Neo4j and Databricks
Offered By: Databricks via YouTube
Course Description
Overview
Discover how to leverage knowledge graphs for enhanced contextual accuracy in Generative AI solutions compared to typical Retrieval Augmented Generation (RAG) approaches in this 21-minute talk by Stu Moore, Senior Product Manager at Neo4j. Learn to construct a Neo4j knowledge graph using unstructured and structured data in Databricks, and explore the implementation of Graph Retrieval Augmented Generation (GraphRAG) for improved generative approaches. Understand how the partner-certified Neo4j Connector for Databricks can be utilized within Databricks Notebooks to build graphs that ground models and prevent hallucinations, ensuring a higher quality Generative AI experience. Explore how Neo4j's expertise in solving business problems like supply chain, fraud detection, entity resolution, and master data management for Databricks customers extends to GraphRAG applications. Gain insights into accelerating GenAI production using the combined power of Neo4j and Databricks.
Syllabus
Sponsored By: Neo4j | Accelerating GenAI to Production with Neo4j and Databricks
Taught by
Databricks
Related Courses
GraphRAG Advanced: Optimize AI Projects and Reduce CostsMervin Praison via YouTube GraphRAG: The Most Incredible RAG Strategy Revealed
Mervin Praison via YouTube Practical GraphRAG - Making LLMs Smarter with Knowledge Graphs
Devoxx via YouTube GraphRAG - Unleashing the Power of Knowledge Graphs with LLMs
The Machine Learning Engineer via YouTube GraphRAG - Unleashing the Power of Knowledge Graphs with LLMs (EspaƱol)
The Machine Learning Engineer via YouTube