Jerry was a great moderator asking killer question to Tomaz

Fantastic webinar, very useful. On a long and only very slightly related tangent, protip: Before (and during!) long presentations drink tea with honey and a lemon slice. When we're nervous our throat tenses up and it's very easy to start coughing when talking constanly. The hot tea with honey helps with that, and the acidity from the lemon prevents your mouth from drying out. I used to have a terrible time doing these 50-minute presentations + Q&A. My throat would be shot even though I wasn't yelling or anything. Eventually I took a couple of vocal training lessons and it practically solved the issue in a week.

This call was great, we used the LlamaIndex+Neo4j implementation as a basis for automatic knowledge graph generation in R2R

where can we find the notebook used in the video? Please share!

How can I constrain the graph construction with .owl and RDF?

@0000000854

7 күн бұрын

This also I want to ask, if RDF/OWL necessary for LLM augmentation performance

While defining the schema, the node labels and relationships were defined. In addition to that, is there a way to define properties associated with each node label?

Its good learning stuff. I have an grpah db which i created. It has different nodes with different lables and relationships between them with properties. Those nodes and relationships and properties and lables generated with help of LLM propmpt and loaded into neo4j. I want to built RAG on top of it. What will be feasible solution as i have very random node lables and relationships.? Suggest some reference please reference

great content but presentation skills....needs some work and energy!

Hi sir ! I’m also LLM/KG enthusiasm, based on your expertise Is Ontology schema like RDF/OWL necessary when building Graph data base as RAG material for LLM output augmentation ?

Hangover recovery?😂

Not a fan of the way this was presented ... I was expecting a tutorial