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GraphStuff.FM: The Neo4j Graph Database Developer Podcast
Getting the Word out on Knowledge Graphs with Leann Chen
Jun 1, 2024
Leann Chen from Diffbot discusses extracting web data for a knowledge graph. They explore integrating knowledge graph builders with Neo4j, discuss vectors, and DSPY framework. The episode also covers using language models and knowledge graphs in content creation, interactive graph visualization tools, Langchain, and NODES 2024 proposals call.
49:24
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Quick takeaways
- Diffbot and LangChain's collaboration simplifies the process of transforming unstructured text data into knowledge graphs for analysis in Neo4j.
- The combination of Language Model-based applications and Cypher query language streamlines database creation and access, benefiting beginners in graph analytics.
Deep dives
Importance of Diffbot in Structuring Web Data
Diffbot plays a crucial role in extracting and structuring web data into a database to form the largest knowledge graph on earth, providing verified information. Their technology allows for easy extraction of data from websites into structured formats like CSV or Excel, and facilitates converting unstructured text data into a knowledge graph.
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