Enterprise RAG pipelines hallucinate because knowledge is still trapped in PDFs and long pages. This tutorial shows engineers how to chunk, embed, and continuously refresh data so LLMs can reliably reason over it — plus the new observability metrics every 2025 team needs.
Learn the three production-proven Modern RAG architectures Basic, Agentic, and Multi-Agent RAG and how to choose the right one based on cost, complexity, and scale.
Your RAG PoC shows potential; context engineering unlocks real performance by shaping data, policies, memory, and tone so you can scale your prototype.
In the age of AI, UX Research must evolve from validation to proactive problem framing. Researchers who study trust, inclusion, and intent shape AI that works for people.
AI Browser (Altas) is an open-source Electron app that lets you control a browser with natural language to automate tasks, scrape data, and monitor sites.
Prompt-to-prototype multimodal agents fast; validate voice and text flows, trust/recovery, and multi-agent orchestration early to cut rework for dev teams.
Retrieval-Augmented Generation (RAG) optimization technique to reduce the number of tokens required to generate a response while maintaining response accuracy.
Google’s UCP lets AI agents handle end-to-end shopping across sites like Walmart. Sellers must optimize data for AI, saving time while introducing new privacy risks.
CORE
