InfoQ Homepage Artificial Intelligence Content on InfoQ
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Vector Sync Patterns: Keeping AI Features Fresh When Your Data Changes
Ricardo Ferreira discusses 5 advanced Vector Sync Patterns to tackle multi-dimensional vector staleness & integration challenges in modern AI/microservices architectures.
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Why Observability Matters (More!) with AI Applications
Sally O'Malley shares how to build an AI observability stack with open-source tools (Prometheus, Grafana, OpenTelemetry, Tempo, vLLM/Llama Stack). Learn to track performance, quality and cost signals.
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Deploy MultiModal RAG Systems with vLLM
Stephen Batifol explains the core concepts of multimodal RAG systems, vector search indexes (HNSW, IVF), and embedding model selection. He details vLLM and Pixtral for optimized inference..
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Beyond the Hype: Architecting Systems with Agentic AI
The panelists discuss architecting with Agentic AI: the hype, the reality, and how to build production-ready, trustworthy systems with guardrails, observability, and continual relevance.
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Chatting with Your Knowledge Graph
Jonathan Lowe discusses how to enable an LLM to chat with a structured graph database. He explains the process of using semantic search and knowledge graphs to answer natural language questions.
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The Data Backbone of LLM Systems
Paul Iusztin discusses the evolution of AI engineering, highlighting the shift from model training to foundational models. He shares insights on scalable LLM systems and optimizing RAG.
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Achieving Sustainable Mental Peace at Work Using GenAI
John Gesimondo shares a framework for achieving sustainable mental peace at work using GenAI. He provides practical prompts and recipes for leveraging AI to overcome being stuck and enhance planning.
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GenAI at Scale: What it Enables, What it Costs, and How to Reduce the Pain
Mark Kurtz discusses scaling GenAI and optimizing LLM deployments. He shares how to overcome technical and financial challenges using open-source tools like vLLM, LLM Compressor, and InstructLab.
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Multidimensionality: Using Spatial Intelligence x Spatial Computing to Create New Worlds
Erin Pañgilinan explains how AI is revolutionizing XR development. She shares how this tech stack, which includes spatial intelligence and ambient computing, empowers engineers to build new realities.
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Slack's AI-Powered, Hybrid Approach for Large-Scale Migration from Enzyme to React Testing Library
Sergii Gorbachov discusses how Slack saved thousands of hours by using a hybrid AST/LLM approach to automate complex code migration, sharing a transferable model for other companies.
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AI for Food Image Generation in Production: How & Why
Iaroslav Amerkhanov discusses how his team at Delivery Hero leveraged GenAI to generate food images, detailing the architecture, optimization, and business impact.
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Orchestrating AI Services with the Spring AI Framework
Loiane Groner discusses Spring AI and how developers can build powerful, production-ready AI solutions in Java.
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Resources
Build a "Hello World" tiny AI Agent (Blog)
In this article, we’ll show you a tiny AI agent built with Orkes Conductor. It can make sense of a user’s query, call a tool when it needs extra info, remember what happened along the way, and pull everything together into a final answer. Learn more.
The Future of Business Process Orchestration (on-demand webinar)
In this webinar, we’ll explore how process orchestration and Agentic AI are redefining automation, enabling businesses to integrate AI-driven decision-making, streamline workflows, and scale seamlessly. Watch Now.
Agentic Orchestration for e-Commerce (Case Study)
As part of its digital transformation, Naveo set out to build a next-generation platform that reimagines enterprise order processing through the lens of AI. The vision: shift from rigid automation to intelligent, autonomous orchestration powered by agentic AI. Learn more.
