Knowledge Graphs for RAG - Syllabus

• Introduction
  • Overview of knowledge graphs and their applications in RAG
  • Course objectives and key concepts
• Knowledge Graph Fundamentals
  • Understanding nodes, edges, and relationships in knowledge graphs
  • Introduction to Cypher query language
• Querying Knowledge Graphs
  • Using Cypher to retrieve data from a knowledge graph
  • Examples with movie and actor data
• Preparing Text for RAG
  • Formatting text data for retrieval-augmented generation
  • Ensuring relevant context for LLMs
• Constructing a Knowledge Graph from Text Documents
  • Building a graph from scratch with structured documents
  • Demo use case with financial and investment data
• Adding Relationships to the SEC Knowledge Graph
  • Creating meaningful connections between entities
  • Advanced techniques for graph expansion
• Expanding the SEC Knowledge Graph
  • Adding more data sources to the knowledge graph
  • Handling complex relationships and queries
• Chatting with the Knowledge Graph
  • Building a question-answering system with Neo4j and LangChain
  • Interacting with a structured text document knowledge graph
• Conclusion
  • Recap of knowledge graph techniques for RAG applications
  • Best practices and future directions