GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
2024-04-22 · 47 min · episode 681 · 18 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
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GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
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Feed author/publisher: Sam Charrington
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founder of Graphlit
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founder of Graphlit
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founder of Graphlit
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founder of Graphlit
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GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
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Feed author/publisher: Sam Charrington
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Feed author/publisher: Sam Charrington
podcasts 1
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
Episode description as stored
Today we're joined by Kirk Marple, CEO and founder of Graphlit, to explore the emerging paradigm of "GraphRAG," or Graph Retrieval Augmented Generation. In our conversation, Kirk digs into the GraphRAG architecture and how Graphlit uses it to offer a multi-stage workflow for ingesting, processing, retrieving, and generating content using LLMs (like GPT-4) and other Generative AI tech. He shares how the system performs entity extraction to build a knowledge graph and how graph, vector, and object storage are integrated in the system. We dive into how the system uses “prompt compilation” to improve the results it gets from Large Language Models during generation. We conclude by discussing several use cases the approach supports, as well as future agent-based applications it enables.
The complete show notes for this episode can be found at twimlai.com/go/681.