Knowledge Graphs for RAG, a short course built in collaboration with Neo4j, is here! 🚀 Knowledge graphs enhance AI application development by going beyond traditional databases. They connect data from both structured and unstructured sources (databases, documents, etc.), providing an intuitive way to model complex scenarios. In this course, you will: 🌟 Understand the basics of how knowledge graphs store data 🌟 Learn how to use Neo4j’s query language Cypher to manage and retrieve data stored i
3:47
Knowledge Graphs for RAG, a short course built in collaboration with Neo4j, is here! 🚀 Knowledge graphs enhance AI application development by going beyond traditional databases. They connect data from both structured and unstructured sources (databases, documents, etc.), providing an intuitive way to model complex scenarios. In this course, you will: 🌟 Understand the basics of how knowledge graphs store data 🌟 Learn how to use Neo4j’s query language Cypher to manage and retrieve data stored i
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Today we’re launching “Agentic Knowledge Graph Construction,” a short course built in collaboration with Neo4j and taught by Andreas Kollegger. RAG retrieves relevant text, and knowledge graphs complement it by modeling relationships and provenance so answers reflect how your data is connected. This short course shows how to automate knowledge graph construction using collaborating AI agents. You’ll implement a workflow that: - Captures the user goal - Automatically selects relevant files - Prop
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Today we’re launching “Agentic Knowledge Graph Construction,” a short course built in collaboration with Neo4j and taught by Andreas Kollegger. RAG retrieves relevant text, and knowledge graphs complement it by modeling relationships and provenance so answers reflect how your data is connected. This short course shows how to automate knowledge graph construction using collaborating AI agents. You’ll implement a workflow that: - Captures the user goal - Automatically selects relevant files - Prop
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