Putting RGAF to Work: Build and audit responsible AI with open source
As generative artificial intelligence shifts from experimental play to enterprise-grade deployment, the conversation has moved from what constitutes responsible AI to how we actually achieve it. This shift is being spearheaded by the LF AI & Data, an umbrella foundation under the Linux Foundation that supports and sustains open source… Read more.
Budgets as code with Flyte, OpenLineage, and Marquez
Authors: Ashok Prakash, Staff Engineer at Apple Isan Sahoo, Principal Engineer at Oracle In the world of multi-tenant GPU clusters, managing spiraling cloud costs is a persistent challenge. Traditional retrospective chargeback often fails to prevent budget violations, leaving teams struggling to control spend after the fact. To solve this, we're… Read more.
Demo to Production: An Open Source Architecture for Reliable AI Agents
Author: Ashok Prakash, Senior Principal Engineer at Oracle AI Summary The promise of AI agents is simple: automation. The reality, as many production teams have learned, is a story of unpredictable failures, security holes, and runaway costs. Moving an agent from a controlled demo to a reliable, cloud-native service is… Read more.
Turning Climate Risk Into Actionable City Plans with Trustworthy AI Agents
How do you turn climate risk data into clear next steps a city can actually act on? Wavestone set out to answer that at the IBM Watson TechXChange hackathon. They built Hive.ai, an open source platform that uses BeeAI — an LF AI & Data project — to generate city-specific… Read more.
Building Enterprise-Ready Multimodal RAG with Milvus
(Originally published on the Milvus blog by Lumina Wang) As multimodal AI continues to expand, from text-to-image generation to intelligent retrieval systems, developers are looking for ways to make these models not only creative but also production-ready. The open source vector database Milvus is showing how this can be done… Read more.
Leverage LLM for Next-Gen Recommender Systems: Design Patterns for Cost-Aware and Ethical Deployment
Author: Nishant Satya Lakshmikanth, Engineering Leader, LinkedIn Corporation Introduction In Part 1, we set the stage by examining how recommender systems evolved—from rule-based heuristics to deep learning and now toward LLM-powered, context-aware intelligence. Part 2 dove into the architectural and modeling layers that bring this transformation to life, covering embedding… Read more.
ACP Joins Forces with A2A
By: Kate Blair, Director of Incubation, IBM Research & Todd Segal, Principal Software Engineer, Google IBM Research launched the Agent Communication Protocol (ACP) in March 2025 to power its BeeAI Platform, an open-source platform exploring agent interpretability. Later that month, the BeeAI project—and with it, ACP—was donated to the Linux Foundation, solidifying our… Read more.
