EmbeddingGemma 2 Expands Beyond Text to Support Code, Images, Video, and Audio
Based on Gemma 4 and released under the Apache 2.0 license, Google's EmbeddingGemma 2 is a compact, open-weight, multimodal embedding model designed…
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AI in Production: What Breaks, What Works, and Who Approves It? | InfoQ Webinar
On October 14, InfoQ hosts a free 60-minute panel with five practitioners on running AI in production. They'll discuss agent autonomy and human appr…
Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balan…
Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs
Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical arc…
Meta's Recipe for Building Agents as "Organizational Second Brains"
Meta describes how an AI agent can be designed to capture the logic and expertise of domain experts, rather than simply storing documents or retriev…
Как мы научили ИИ читать корпоративные регламенты: от наивного RAG до измеримого pipeline
В статье - практический кейс создания корпоративного RAG-сервиса для поиска по внутренним регламентным и нормативным документам. Мы прошли путь от с…
Presentation: Beyond Prompting: Context Engineering for Production-Grade AI
Ricardo Ferreira discusses moving beyond simple prompt engineering to build production-grade AI applications. He shares practical architectural stra…
Как поддерживать большую базу знаний для RAG и обновлять ее в полуавтоматическом режиме
У большой базы знаний есть неприятное свойство. Она хорошо отвечает на вопросы, которые в нее уже положили, и никак не сообщает о вопросах, которых…
Локальная RAG-система на Go, PostgreSQL и Ollama без облачных API
RAG уже стал стандартным способом научить LLM работать с собственными документами без дорогостоящего дообучения. Но за кажущейся простотой скрываетс…
Pinecone Introduces Nexus Engine for Compiling Business Context into Structured Data for AI Agents
Now generally available, Pinecone Nexus is a "knowledge engine" for AI agents that transforms enterprise data into a structured layer agents can que…
Как AI видит ваш сайт и почему Бизнесу надо это знать
TL;DR: RAG-поиск (Retrieval-Augmented Generation, генерация с подкреплением поиском) – это механизм, при котором AI сначала находит релевантные куск…
How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone
DoorDash details the architecture behind Ask DoorDash, its AI-powered conversational shopping assistant, combining LLMs, specialized AI agents, MCP-…
Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines
Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddin…
Article: Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG
In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search app…
InfoQ Online Certification Program: New AI Engineering and Organizational Architecture Cohorts
InfoQ expands its online certification portfolio with new AI Engineering and Organizational Architecture cohorts, giving senior practitioners a conf…
Six Sessions at QCon AI Boston 2026 That Take Productionizing AI Seriously
QCon AI Boston 2026 is close to selling out. Six sessions where speakers engage directly with the gap between AI working in a demo and AI working in…
Cloudflare Announces Agent Memory, a Managed Persistent Memory Service for AI Agents
Cloudflare announced Agent Memory in private beta, a managed service that extracts structured memories from AI agent conversations and retrieves the…