Sr. Content Developer at Microsoft, working remotely in PA, TechBash conference organizer, former Microsoft MVP, Husband, Dad and Geek.
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Supercharging SharePoint Metadata with the Knowledge Agent in Microsoft 365 Copilot

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Organizations adopting Microsoft 365 Copilot are quickly realizing that great AI outcomes depend on great data foundations. But for many teams, keeping SharePoint content well‑structured, tagged, and optimized for search has always been a challenge.

Enter Knowledge Agent (Preview) - now included with Microsoft 365 Copilot (premium) - a powerful new capability that automates metadata enrichment inside SharePoint. In just a few minutes, it can transform an under‑tagged document library into a rich, AI‑ready resource that dramatically improves your Copilot experiences.

In a recent internal walkthrough, I tested the setup and was surprised by two things:

  1. How simple it was to enable, even as an administrator.
  2. How quickly it added meaningful metadata across an entire library.

Here’s what I learned - and why this matters for organizations.

 

Fast Setup With Zero Friction

To enable Knowledge Agent, I connected to SharePoint Online via PowerShell and configured the tenant settings. Even in a demo environment, the process was quick: scope your sites, validate the configuration, and Knowledge Agent becomes visible and active almost immediately.

No lengthy provisioning.
No complex dependencies.
Just turn it on and it lights up.

Automated Metadata That Powers Better Search & Better AI

Once enabled, Knowledge Agent is available to analyze your SharePoint libraries and:

  • Reads documents and extracts meaningful context
  • Automatically generates new metadata columns
  • Populates those columns with structured information
  • Applies improvements across the entire library when requested

I tested this with a library full of medical procedure documents. Within moments, Knowledge Agent:

  • Identified key attributes across all files
  • Suggested and created metadata columns
  • Added structured classifications to each document

This enriched data is then available to improve your:

  • Copilot search index
  • SharePoint embeddings
  • Custom agents you build on top of SharePoint
  • Future Microsoft 365 Copilot experiences

The result?
More accurate responses, better grounding, and a significant boost in AI performance.

Why This Matters for AI Readiness

Customers often ask:
“Why can’t Copilot find the right documents?”
or
“Why does our AI agent return inconsistent results?”

The answer is usually metadata - or the lack of it.

Knowledge Agent solves this by automating the hard part: reading files, extracting meaning, and generating structure at scale. Even a single well-optimized SharePoint library can dramatically improve:

  • Governance controls
  • Document discovery
  • Copilot Chat answers
  • SharePoint‑based Agents
  • Enterprise search reliability

It’s one of the fastest ways to uplift AI accuracy without requiring major data cleanup projects.

A Simple Way to Boost AI Value Immediately

The Knowledge Agent is one of the most practical additions to the Microsoft 365 ecosystem this year. It gives administrators a powerful way to modernize file libraries with minimal effort while helping organizations get the most out of Copilot.

If your team relies on SharePoint, Copilot, or is exploring custom agent development, turning on Knowledge Agent should be at the top of your checklist. It’s fast, impactful, and unlocks meaningful value across your AI stack.

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How to change models in Copilot CLI - Where is the enablement?!

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RNR 351 - Transforming Packages to Nitro with Marc Rousavy

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In this episode of React Native Radio, Robin and Mazen are joined by Marc Rousavy to break down transforming packages to Nitro and why it’s a big deal for high-performance native modules. They dig into Nitro’s origins, how it stacks up against TurboModules and Expo, and what’s coming next for VisionCamera.

 

Show Notes

 

Connect With Us!

 

This episode is brought to you by Infinite Red!

Infinite Red is an expert React Native consultancy located in the USA. With over a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.





Download audio: https://cdn.simplecast.com/audio/2de31959-5831-476e-8c89-02a2a32885ef/episodes/7d9fc9b9-0dbc-4c1f-b0cd-bb7a647f006e/audio/5c242c79-1c21-4755-b3c7-0236cb1617ec/default_tc.mp3?aid=rss_feed&feed=hEI_f9Dx
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#535: PyView: Real-time Python Web Apps

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Building on the web is like working with the perfect clay. It’s malleable and can become almost anything. But too often, frameworks try to hide the web’s best parts away from us. Today, we’re looking at PyView, a project that brings the real-time power of Phoenix LiveView directly into the Python world. I'm joined by Larry Ogrodnek to dive into PyView.

Episode sponsors

Talk Python Courses
Python in Production

Guest
Larry Ogrodnek: hachyderm.io

pyview.rocks: pyview.rocks
Phoenix LiveView: github.com
this section: pyview.rocks
Core Concepts: pyview.rocks
Socket and Context: pyview.rocks
Event Handling: pyview.rocks
LiveComponents: pyview.rocks
Routing: pyview.rocks
Templating: pyview.rocks
HTML Templates: pyview.rocks
T-String Templates: pyview.rocks
File Uploads: pyview.rocks
Streams: pyview.rocks
Sessions & Authentication: pyview.rocks
Single-File Apps: pyview.rocks
starlette: starlette.dev
wsproto: github.com
apscheduler: github.com
t-dom project: github.com

Watch this episode on YouTube: youtube.com
Episode #535 deep-dive: talkpython.fm/535
Episode transcripts: talkpython.fm

Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong

---== Don't be a stranger ==---
YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm
Mastodon: @talkpython@fosstodon.org
X.com: @talkpython

Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @mkennedy@fosstodon.org
Michael on X.com: @mkennedy




Download audio: https://talkpython.fm/episodes/download/535/pyview-real-time-python-web-apps.mp3
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127: $65,000 Question: Buy Rivian R2 or Wait for Volvo EX60?

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In this episode:
• Volvo EX60 and EX60 Cross Country debut
• Tesla Replaces Autopilot With FSD Subscriptions
• Charging The Lucid Gravity At The One True V4 Supercharger
• Much, much more!




Download audio: https://dts.podtrac.com/redirect.mp3/audioboom.com/posts/8844157.mp3?modified=1769188545&sid=5141110&source=rss
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Azure Savings Plans, finally explained with math that actually makes sense

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Math IS hard and mathing isn't my strong suit. I am writing this blog because I STILL get tripped up at times with Savings Plans. You guessed it...this becomes a cheat sheet for ME in the future, too! Azure Savings Plans are one of those topics that routinely make smart people feel like they missed a prerequisite class. I see it in customer meetings, I see it in internal chats, and I definitely see it in the way people react to Azure Advisor recommendations. The issue is not you. The issue is...

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