Fireside Q&A
summary
Live Q&A covers product moves and hard numbers: continuous delivery into Aura instead of big releases, engine improvements like parallel runtime and MVCC that speed queries without code changes, a unified Aura UI plus CLI and Bloom refinements, and a Graph RAG Python framework for explainable retrieval that addresses why answers were returned. Panel warns that 70–80% stalled Gen projects hit fuzzy use cases and volatile toolchains, and argues vector DBs will remain a niche while graph models capture more new applications.
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chapters (13)
- 0:00Welcome and introduction
- 1:17Conference highlights and thanks
- 2:00Speaker introductions
- 4:09Birth of property graph model
- 6:20Transition to audience questions
- 7:21NEARJ6 and developer survey
- 8:27Future of NEARJ platform
- 11:59State of GenAI adoption
- 18:23Future of vector databases
- 21:56Graph vs relational databases
- 25:15Recent NEARJ features
- 27:41Developer vs CEO today
- 30:14Closing and next steps
