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GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
Manage episode 413941726 series 2355587
Contenido proporcionado por TWIML and Sam Charrington. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente TWIML and Sam Charrington o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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.
746 episodios
GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Manage episode 413941726 series 2355587
Contenido proporcionado por TWIML and Sam Charrington. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente TWIML and Sam Charrington o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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.
746 episodios
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Similar a The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
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…
continue reading
BBC Radio 5 live’s award winning gaming podcast, discussing the world of video games and games culture.
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continue reading
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…
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The internet is broken—but it doesn’t have to be. If you’re concerned about how surveillance, online advertising, and automated content moderation are hurting us online and offline, the Electronic Frontier Foundation’s How to Fix the Internet podcast offers a better way forward. EFF has been defending your rights online for over thirty years and is behind many of the biggest digital rights protections since the invention of the internet. Through curious conversations with some of the leading ...
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Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
…
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