Knowledge Graphs for RAG

Instructor: Andreas Kollegger

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

  •   Data Storage Technologies
  •   Unstructured Data
  •   Query Languages
  •   Large Language Modeling
  •   Text Mining
  •   Semantic Web
  •   Graph Theory
  •   Data Storage

    • AI Enhancement with Knowledge Graphs - Mastering RAG Systems

    Building Applications with Vector Databases

    Preprocessing Unstructured Data for LLMs and RAG Systems

    Building Multimodal Search and RAG

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