The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
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Apr 22, 2024 
In this discussion, Kirk Marple, CEO of Graphlit, dives into the innovative world of GraphRAG, which combines knowledge graphs with retrieval-augmented generation. He shares insights on building knowledge graphs and the challenges of entity extraction. The conversation covers dynamic prompting techniques that enhance AI model responses and the integration of multiple storage types for effective data management. Kirk also explores the future of AI agents and their applications, showcasing the evolution of cloud services in graph-based technologies.
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TWIMLCon and Broadcast Video Background
- Kirk Marple attended TWIMLCon in San Francisco in 2019.
- His background in broadcast video influenced Graphlet's approach to data pipelines.
GraphRAG and Knowledge Graphs
- Graphlet's system focuses on entity extraction and knowledge graph integration, similar to the GraphRAG paper.
- Building the knowledge graph and retrieval are key aspects of GraphRAG.
LLMs for Entity Extraction
- LLMs excel at address extraction, a task previously difficult with traditional NLP.
- Combining LLMs and traditional NLP models during entity extraction offers advantages.