The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
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.
47:08
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Quick takeaways
- GraphRAG integrates knowledge graphs with Generative AI for enhanced content generation.
- Entity extraction and metadata retrieval are vital for structuring data efficiently in GraphRAG workflow.
Deep dives
Graphlate's Approach to Unstructured Data Platform and Knowledge Graph
Graphlate, a data platform, focuses on organizing unstructured data into a knowledge graph, allowing multi-modal data exploration. They integrate the knowledge graph with the RAG model to enhance data retrieval. By enabling metadata storage and retrieval, they emphasize the importance of structuring data for efficient content exploration.
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