GraphRAG-SDK: Simplifying Knowledge Graph Integration with LLM

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FalkorDB Podcast: Innovating at the Intersection of Graphs, AI, and Databases

FalkorDB

16 episodes

4 days ago

Welcome to the FalkorDB Podcast, where we dive deep into the world of graph databases, AI-driven applications, and cutting-edge data technology. Hosted by industry veterans, this podcast brings you conversations with leading developers, innovators, and thought leaders who are shaping the future of knowledge graphs and retrieval-augmented generation (RAG). Explore real-world applications of graph technology, discover how FalkorDB is revolutionizing enterprise data infrastructure, and learn how companies are leveraging AI and machine learning to build smarter, faster systems.

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GraphRAG-SDK: Simplifying Knowledge Graph Integration with LLM

FalkorDB Podcast: Innovating at the Intersection of Graphs, AI, and Databases

18 minutes 4 seconds

9 months ago

GraphRAG-SDK: Simplifying Knowledge Graph Integration with LLM

https://www.falkordb.com/news-updates/graphrag-sdk-0-5-knowledge-graph-integration/

These sources detail FalkorDB, a graph database, highlighting its performance advantages over Neo4j, particularly in aggregate expansion operations. They also introduce GraphRAG-SDK 0.5, which simplifies knowledge graph integration with LLMs by automating ontology loading. Furthermore, FalkorDB's v4.6 update includes a CSV loader for streamlined data import, and its integration with TrustGraph facilitates agentic knowledge extraction from unstructured data using autonomous agents. The overall focus is on FalkorDB's capabilities and ease of use in building and utilizing knowledge graphs for Retrieval Augmented Generation (RAG) applications.