AI That Knows: Using RAG to Work Smarter with Spencer Gallardo - Pieces AI Productivity Summit

Описание: “RAG helped me prep a demo in 15 minutes instead of two hours.” – Spencer Gallardo

In this fast-paced and personal talk from the Pieces AI Productivity Summit, Spencer Gallardo, Solutions Engineer at Salesforce, shares how Retrieval-Augmented Generation (RAG) changed the way he works—at his job, on his YouTube channel, and in his everyday life.

He explains how agentic tools like Agent Force and Notebook LM help reduce context switching, surface buried knowledge, and save hours of manual effort across customer support, IT, and content workflows.

They covered:
00:00:00 Intro: Spencer’s background and the problem with context switching
00:01:30 How generative AI sparked an obsession with working smarter
00:03:00 Why RAG made GPT useful for real customer work
00:04:30 How RAG helps answer hyper-specific internal questions
00:06:00 Before vs. after: from 43 open tabs to instant clarity
00:07:30 Explaining RAG: what it is and why it matters
00:09:00 Real-world examples of RAG in a Salesforce workflow
00:11:00 How Spencer uses structured and unstructured data
00:13:00 Combining RAG with automation to trigger real actions
00:15:00 Comparing agents with and without RAG context
00:17:00 Google Notebook LM as a personal RAG tool
00:19:00 Building a weight loss assistant with RAG and LangChain
00:21:00 How RAG is helping teams and customers save time
00:23:00 Spencer’s personal outcomes: faster demos, better prep, less stress
00:25:00 How to start small: internal FAQs, synced notes, and more

This talk is packed with practical takeaways for anyone building with RAG—whether you’re supporting enterprise clients, building internal tools, or just trying to keep track of your own notes.

Check out more from the summit:    • Pieces AI Productivity Summit  
Learn more about memory and context with Pieces: https://pieces.app/features/long-term...

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