Videos

Episode 22 of Going Meta – a series on graphs, semantics and knowledge Jesús Barrasa: https://twitter.com/BarrasaDV Links from the Show: Vector Search: https://development.neo4j.dev/blog/vector-search-deeper-insights/ Educational Chatbot: https://development.neo4j.dev/developer-blog/building-educational-chatbot-neo4j/ Structure Aware Retrieval: https://medium.com/@yu-joshua/adding-structure-aware-retrieval-to-genai-stack-373976de14d6 GenAI Stack: https://development.neo4j.dev/blog/introducing-genai-stack-developers/ GenAI App Building: https://development.neo4j.dev/developer-blog/genai-app-how-to-build/ DevOps Rag Application: https://bratanic-tomaz.medium.com/using-a-knowledge-graph-to-implement-a-devops-rag-application-b6ba24831b16 LangChain: https://github.com/langchain-ai/langchain/tree/master/templates/neo4j-advanced-rag 0:00 Welcome 6:35 Recap on Data Semantics 11:28 RAG 20:40 Knowledge Graphs to improve RAG 31:11 Q&A 36:25 Code Example 55:50 More Q&A 1:00:55 WrapUp Repository: https://github.com/jbarrasa/goingmeta Knowledge Graph Book: https://development.neo4j.dev/knowledge-graphs-practitioners-guide/ Check out https://community.neo4j.com/ for questions and discussions around Neo4j #neo4j #graphdatabase #knowledgegraphs #knowledgegraph #semantic #ontology #rag