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://bit.ly/4cuZoeS
Educational Chatbot: https://bit.ly/45RvnDz
Structure Aware Retrieval: https://medium.com/@yu-joshua/adding-structure-aware-retrieval-to-genai-stack-373976de14d6
GenAI Walkthrough:
https://bit.ly/4cxfPXW
GenAI App Building: https://bit.ly/4cxfPXW
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://bit.ly/3LaqE6b

Check out https://community.neo4j.com/ for questions and discussions around Neo4j

#neo4j #graphdatabase #knowledgegraphs #knowledgegraph #semantic #ontology #rag