UI in The Age of AI
summary
Neo4j Graph Academy experiments with a 2023 RAG chatbot that goes into production, proves coherent but unhelpful for platform faults, and is quietly removed; a 2025 agentized redo gives the assistant real tools to check database connections and act, improving outcomes. Implementation details include chunking docs into a vector index, streaming responses via server-sent events, a modeling subagent that crafts schemas from user prompts, and optional MCP integration to provision auth and databases inline.
AI-written summary · about
chapters (6)
- 0:00AI shift is here
- 3:56RAG chatbot to learning agent
- 7:50AI-era UI design pillars
- 12:46Adding serendipity to UX
- 14:30MCP and meeting users
- 20:37UI role in AI age
related talks
14mEmpowering Voice AI Agents with Real-Time Knowledge from Neo4j
19mThe Future of AI
12mLeveraging Neo4j Graph Data and AI Across the App Development and Deployment Lifecycle
40mAI Agents in Practice
01h 17mThe year of the AI Agent: Beyond Automation
45mAgents, Tools, and MCP, oh my! Next-level AI concepts for developers
01h 01mKeynote Panel: Future of AI agents
59mMaking the most of artificial and human intelligence for data science
