▶Open on YouTube ↗FunctionalTVArchiveIntroducing Weave-CLI: The easiest way to manage your vector DB | Max Maximilien, AI By the Bay 2025
▶Open on YouTube ↗FunctionalTVArchiveEvent-Driven & Multi-Agent Architectures for Gen AI Workflows | Mary Grygleski, AI By the Bay 2025
▶Open on YouTube ↗FunctionalTVArchiveFrom Data 2.0 to Data 3.0: Making Data Autonomous for AI(Keynote) | Zhamak Dehghani, AI By the Bay25
▶Open on YouTube ↗FunctionalTVArchiveChallenges of Ambient Agents: Building Governable AI Systems at Scale | Fred Patton, AI By the Bay25
▶Open on YouTube ↗FunctionalTVArchiveContext Engineering: Connecting the Dots with Graphs | Stephen Chin , AI By the Bay 2025
▶Open on YouTube ↗FunctionalTVArchiveLLMs & Data Warehouses: Reliable AI Agents for Business (Keynote) | Ryan Boyd, AI By the Bay 2025
▶Open on YouTube ↗FunctionalTV2025From Big Data to DuckDB: Ryan Boyd (MotherDuck) on Hyper-Tenancy, Duck Lake, and Making Data Fun.
▶Open on YouTube ↗FunctionalTV2025Graph Exchange: Alexy Khrabrov, OAKS ASKG: Agent-Server Knowledge GraphConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2025Graph Exchange: Jure Leskovec, Foundation Models for Graph LearningConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2025Graph Exchange: Nikita Ivanov, From Agentic RPA to Self-Leaning Autonomous AgentsConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2025Graph Exchange: Rishi Puri, GNNs & LLMs in PyGConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTVArchiveDevReal: Simple Knowledge Graphs with Outlines, neo4j, and Modal, Cameron PfifferConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2025Full-Stack AI Engineering from AI-Native Coding to Knowledge, Models, Infrastructure & OSS
▶Open on YouTube ↗FunctionalTVArchiveDevReal: Optimizing LLMs for Cost-Efficient Deployment with vLLM - Michael Goin
▶Open on YouTube ↗FunctionalTVArchiveDevReal: Loading the world's biggest knowledge graph into neo4j, Leann Chen
▶Open on YouTube ↗FunctionalTVArchiveAI Agents and Knowledge Graphs for Intelligent Querying and Insights, Tomaz Bratanic
▶Open on YouTube ↗FunctionalTV2024DevReal: Secure Deployment of AI Models, Mihai MaruseacConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTVArchiveDevReal: KG-enabled AI Workflows, Chris RecConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2024DevReal: Zoran Jovanovic, Volvo: What OSPOs can teach us about OSS AI Governance!Connected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2024DevReal: Stephen Batifol on Milvus at the OSS Summit Europe 2024, ViennaConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2024Bay.Area.AI: Interview with Roie Schwaber-Cohen, PineconeConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2024Bay.Area.AI: Interview with Jiang Chen, ZillizConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2024Bay.Area.AI: Graphs and AI: Making it RealAlexy Khrabrov, AI Community Architect, Neo4jConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTVArchiveBay.Area.AI: Improving RAG with Knowledge Graph and Milvus, Jiang Chen, ZillizConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTVArchiveBay.Area.AI: Vectors and Graphs - Better Together, Roie Schwaber-CohenConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTV2024Bay.Area.AI: Interview with Michael Ryan, StanfordConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTVArchiveBay.Area.AI: DSPy: Prompt Optimization for LM Programs, Michael RyanConnected to 1 DevReal story
▶Open on YouTube ↗FunctionalTVArchiveBay.Area.AI: Build RAG-based large language model applications with Ray and KubeRay, Kai-Hsun Chen