Knowledge graphs are used in development to structure complex data relationships, drive intelligent search functionality, and build powerful AI applications that can reason over different data types. Knowledge graphs can connect data from both structured and unstructured sources (databases, documents, etc.), providing an intuitive and flexible way to model complex, real-world scenarios.
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What you'll learn
Use Neo4j’s query language Cypher to manage and retrieve data stored in knowledge graphs.
Write knowledge graph queries that find and format text data to provide more relevant context to LLMs for Retrieval Augmented Generation.
Build a question-answering system using Neo4j and LangChain to chat with a knowledge graph of structured text documents.
Skills you'll practice
Details to know
June 2024
Only available on desktop
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