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-ba…
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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 embeddings…
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 appli…
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 confid…
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 p…
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 them …