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Stop building RAG pipelines from scratch. Foundry IQ is the agent-native knowledge layer behind your Foundry agents. Every source in one knowledge base - Work IQ, Fabric IQ, and now Web IQ. Serverless grounding, zero friction. Available today.

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33,283 просмотров • 2 месяцев назад •via X (Twitter)

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Hosted Agents in Microsoft Foundry is now Generally Available! This brings agent native compute for your agents with any framework, any language, and any model 🚀 Build with the GitHub Copilot App, connect to Microsoft IQ, run in Foundry, securely interact with Microsoft Teams, govern in Agent 365, and optimize to compound your learnings continuously -- such a valuable combo. Check out the demo / blog below to see it in action!
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Hosted Agents in Microsoft Foundry is now Generally Available! This brings agent native compute for your agents with any framework, any language, and any model 🚀 Build with the GitHub Copilot App, connect to Microsoft IQ, run in Foundry, securely interact with Microsoft Teams, govern in Agent 365, and optimize to compound your learnings continuously -- such a valuable combo. Check out the demo / blog below to see it in action!

Jeff Hollan

285,166 просмотров • 1 месяц назад

One thing I keep hearing is people are not sure of where to start with AI, what to learn around the Microsoft ecosystem with copilots, agents, IQ etc. I've done a lot of videos recently but wanted to create a little bit of a clearer path for those who need a bit more order. I also created if you want an interface for the curated AI path. No adverts, no fluff, no sponsors. Just an easy experience to utilize. The key content: AI for Anyone - 30 Minute Introduction to AI — RAG, Semantic Search and More — Getting Started with M365 Copilot — Copilot Cowork Overview — Picking Your Agent Builder Solution — Agent 365 Overview — Microsoft IQ Overview — Work IQ Overview — Foundry IQ Overview — Fabric IQ Overview — Getting Started with GitHub Copilot CLI and Work IQ — Choosing Your First AI Application — MCP or A2A — What is Agentic AI — Generative AI Security Top Considerations — #ai #artificialintelligence #copilot #m365copilot #copilotstudio #microsoftfoundry #microsoft
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One thing I keep hearing is people are not sure of where to start with AI, what to learn around the Microsoft ecosystem with copilots, agents, IQ etc. I've done a lot of videos recently but wanted to create a little bit of a clearer path for those who need a bit more order. I also created if you want an interface for the curated AI path. No adverts, no fluff, no sponsors. Just an easy experience to utilize. The key content: AI for Anyone - 30 Minute Introduction to AI — RAG, Semantic Search and More — Getting Started with M365 Copilot — Copilot Cowork Overview — Picking Your Agent Builder Solution — Agent 365 Overview — Microsoft IQ Overview — Work IQ Overview — Foundry IQ Overview — Fabric IQ Overview — Getting Started with GitHub Copilot CLI and Work IQ — Choosing Your First AI Application — MCP or A2A — What is Agentic AI — Generative AI Security Top Considerations — #ai #artificialintelligence #copilot #m365copilot #copilotstudio #microsoftfoundry #microsoft

John Savill

11,296 просмотров • 4 месяцев назад

Three big updates from Microsoft Foundry: ✅ GPT-5.6 generally available in Foundry today ✅ Hosted agents in Foundry Agent Service are now generally available ✅ The Asia Pacific Data Zone is now generally available Learn more:
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Three big updates from Microsoft Foundry: ✅ GPT-5.6 generally available in Foundry today ✅ Hosted agents in Foundry Agent Service are now generally available ✅ The Asia Pacific Data Zone is now generally available Learn more:

Microsoft Azure

22,896 просмотров • 1 месяц назад

Migration day is here. After 11 months of non-stop building, it is time for IQ to graduate from the trenches. IQ6900 → IQ LABS Migration begins Sept. 25 @ 1:00pm ET (1hr from now) Migration concludes Oct. 9 @ 1:00pm ET You have 14 days to migrate your tokens. Once the migration window closes, IQ LABS will go live on a new Raydium pool. Here’s everything you need to know about migration:
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Migration day is here. After 11 months of non-stop building, it is time for IQ to graduate from the trenches. IQ6900 → IQ LABS Migration begins Sept. 25 @ 1:00pm ET (1hr from now) Migration concludes Oct. 9 @ 1:00pm ET You have 14 days to migrate your tokens. Once the migration window closes, IQ LABS will go live on a new Raydium pool. Here’s everything you need to know about migration:

IQ Labs

33,526 просмотров • 10 месяцев назад

At Microsoft Build, we announced the new Work IQ APIs and they’re now generally available for you to start building with today. These APIs are designed for how agents actually work and give you direct access to the intelligence layer behind Microsoft 365. Check out this short video to learn more about how this all works - you can also read the blog below...
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At Microsoft Build, we announced the new Work IQ APIs and they’re now generally available for you to start building with today. These APIs are designed for how agents actually work and give you direct access to the intelligence layer behind Microsoft 365. Check out this short video to learn more about how this all works - you can also read the blog below...

Charles Lamanna

18,484 просмотров • 2 месяцев назад

What differentiates first-world from third-world cultures is almost entirely the average IQ of the society. Virtually every first-world country averages IQs in the 95-105 range. South and Central America average IQ in the 80s. North Africa and India in the 70s. Sub-Saharan Africa in the 60s and even 50s. One need only visit and observe these different locales to see how predictably decreasing IQ drives decreasing standard of living and every measure of quality of life.
2:03

What differentiates first-world from third-world cultures is almost entirely the average IQ of the society. Virtually every first-world country averages IQs in the 95-105 range. South and Central America average IQ in the 80s. North Africa and India in the 70s. Sub-Saharan Africa in the 60s and even 50s. One need only visit and observe these different locales to see how predictably decreasing IQ drives decreasing standard of living and every measure of quality of life.

Andrew Branca Show

19,156 просмотров • 8 месяцев назад

IQ shapes culture, it's never the other way around. You cannot remove cultural behavior from its hard-wired source, you only drag down your own standards to the lowest level you tolerate. Anything less than peak IQ dumbs down any culture and lowers the bar of decency—thus promoting unacceptable behavior as the base from which everything is formed.
2:18

IQ shapes culture, it's never the other way around. You cannot remove cultural behavior from its hard-wired source, you only drag down your own standards to the lowest level you tolerate. Anything less than peak IQ dumbs down any culture and lowers the bar of decency—thus promoting unacceptable behavior as the base from which everything is formed.

Dane

12,871 просмотров • 10 месяцев назад

3. Agent factory: Foundry is the complete app platform for building apps and agents. We are adding support for more models from Grok, Hugging Face, Meta, Mistral, and more. Plus: Agentic retrieval in Azure AI Search, Foundry Agent Service, integration with Copilot Studio, and more. And we are ensuring the tools you already use for identity, management, and security will now all extend to agents too. The NFL has already used Foundry, along with our data stack, to run its recent Combine.
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3. Agent factory: Foundry is the complete app platform for building apps and agents. We are adding support for more models from Grok, Hugging Face, Meta, Mistral, and more. Plus: Agentic retrieval in Azure AI Search, Foundry Agent Service, integration with Copilot Studio, and more. And we are ensuring the tools you already use for identity, management, and security will now all extend to agents too. The NFL has already used Foundry, along with our data stack, to run its recent Combine.

Satya Nadella

184,995 просмотров • 1 год назад

The Giants are in that spot where every pick matters. Do you get your young QB more help or trust the defense. Broke it down with NFL IQ from Amazon Web Services and Next Gen Stats Take a look at
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The Giants are in that spot where every pick matters. Do you get your young QB more help or trust the defense. Broke it down with NFL IQ from Amazon Web Services and Next Gen Stats Take a look at

Dan Orlovsky

79,436 просмотров • 4 месяцев назад

Im coming from a place of love. I work with Black people every day in the trenches. No one is more pro-Black than I am! So, fuck all you low-IQ Negroes who think I’m cooning.
2:19

Im coming from a place of love. I work with Black people every day in the trenches. No one is more pro-Black than I am! So, fuck all you low-IQ Negroes who think I’m cooning.

Shiestynurse

28,930 просмотров • 1 месяц назад

Moments like this don’t happen by accident. They come from the setbacks, the sacrifice, and the work no one sees. I’ve lived the highs and lows — and that’s why I’m building Golf IQ by Chris Paisley. A holistic, bespoke system that teaches you how to practice efficiently, use data with purpose, build real accountability, and make smarter decisions on and off the course. Focus on what actually moves the needle — and you’ll reach your best golf faster. Raise your Golf IQ, Lower your Scores
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Moments like this don’t happen by accident. They come from the setbacks, the sacrifice, and the work no one sees. I’ve lived the highs and lows — and that’s why I’m building Golf IQ by Chris Paisley. A holistic, bespoke system that teaches you how to practice efficiently, use data with purpose, build real accountability, and make smarter decisions on and off the course. Focus on what actually moves the needle — and you’ll reach your best golf faster. Raise your Golf IQ, Lower your Scores

Chris Paisley

14,437 просмотров • 8 месяцев назад

Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs can improve the context you pass to the LLM and the performance of your RAG applications. In this course, taught by Andreas Kollegger of Neo4j, you’ll - Explore how knowledge graphs work by building a graph of public financial documents from scratch - Learn to write queries that retrieve text and data from the graph and use it to enhance the context you pass to an LLM chatbot - Combine a knowledge graph with a question-answer chain to build better RAG-powered chat systems Sign up here!
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Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs can improve the context you pass to the LLM and the performance of your RAG applications. In this course, taught by Andreas Kollegger of Neo4j, you’ll - Explore how knowledge graphs work by building a graph of public financial documents from scratch - Learn to write queries that retrieve text and data from the graph and use it to enhance the context you pass to an LLM chatbot - Combine a knowledge graph with a question-answer chain to build better RAG-powered chat systems Sign up here!

Andrew Ng

244,403 просмотров • 2 лет назад

Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one designed to automate simple daily tasks like scheduling a meeting or responding to an email. On the other hand, a specialized RAG agent is one designed to augment subject-matter experts performing complex domain-specific work. The Contextual AI Platform allows you to create these agents easily and achieve SOTA accuracy right out of the box. Check out what the Contextual AI Platform can do.
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Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one designed to automate simple daily tasks like scheduling a meeting or responding to an email. On the other hand, a specialized RAG agent is one designed to augment subject-matter experts performing complex domain-specific work. The Contextual AI Platform allows you to create these agents easily and achieve SOTA accuracy right out of the box. Check out what the Contextual AI Platform can do.

Contextual AI

879,586 просмотров • 1 год назад

Be Smart as Karpathy Andrej Karpathy with Teamily AI 🧠 Your Personal Knowledge Base: ✅ Built in One Chat. 📈 Compounded via Conversations. Karpathy’s insight is spot on ( It attracts 10 million views in a few days. The idea is simple: AI should build personal knowledge from everything you feed it, so it stops rediscovering things from scratch like a Retrieval-Augmented Generation (RAG). But here’s the reality — most people aren’t Stanford PhD-level geeks like Karpathy. For the rest of us, operating a hacky collection of scripts and tools (Obsidian Web Clipper, Marp, Dataview, etc.) as seen in Karpathy’s idea file is far too complex ( The Internet needs an intuitive product where a personal knowledge base is a persistent, compounding artifact — one that grows alongside the content you consume, the contexts you inhabit, and the questions you ask. Teamily AI ( is the answer. The conversation IS the knowledge base. It’s an AI-native messenger where AI teammates join your chats. They remember your past discussions, your preferences, and your team’s context — getting smarter the more you talk. No setup. No complicated workflows. Just text as you normally do. Whether you’re saving articles and videos, brainstorming at work, or collaborating with colleagues, your AI teammates are right there. They listen, remember, and help — not from scratch every time, but by building a personal knowledge graph of everything you’re involved in. In essence, your knowledge compounds automatically. ✨ The user experience is effortless. Whenever you need a well-organized view of your data, just ask the "Personal AI" at the top of the Teamily window: "Visualize my personal knowledge base" Want to customize the style or indexes? Just chat with it. You define how you manage your knowledge. Our co-founder Aiden has prepared a short video to show you just how easy it is. 📽️
2:41

Be Smart as Karpathy Andrej Karpathy with Teamily AI 🧠 Your Personal Knowledge Base: ✅ Built in One Chat. 📈 Compounded via Conversations. Karpathy’s insight is spot on ( It attracts 10 million views in a few days. The idea is simple: AI should build personal knowledge from everything you feed it, so it stops rediscovering things from scratch like a Retrieval-Augmented Generation (RAG). But here’s the reality — most people aren’t Stanford PhD-level geeks like Karpathy. For the rest of us, operating a hacky collection of scripts and tools (Obsidian Web Clipper, Marp, Dataview, etc.) as seen in Karpathy’s idea file is far too complex ( The Internet needs an intuitive product where a personal knowledge base is a persistent, compounding artifact — one that grows alongside the content you consume, the contexts you inhabit, and the questions you ask. Teamily AI ( is the answer. The conversation IS the knowledge base. It’s an AI-native messenger where AI teammates join your chats. They remember your past discussions, your preferences, and your team’s context — getting smarter the more you talk. No setup. No complicated workflows. Just text as you normally do. Whether you’re saving articles and videos, brainstorming at work, or collaborating with colleagues, your AI teammates are right there. They listen, remember, and help — not from scratch every time, but by building a personal knowledge graph of everything you’re involved in. In essence, your knowledge compounds automatically. ✨ The user experience is effortless. Whenever you need a well-organized view of your data, just ask the "Personal AI" at the top of the Teamily window: "Visualize my personal knowledge base" Want to customize the style or indexes? Just chat with it. You define how you manage your knowledge. Our co-founder Aiden has prepared a short video to show you just how easy it is. 📽️

Teamily AI

15,642 просмотров • 4 месяцев назад

Made for 200 IQ plays, great escapes, and master baits. The new 'Sike! Not this time!', emote is now available in the shop. Designed by us, but made for you. It's "time" to tilt your opponents - you're welcome.
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Made for 200 IQ plays, great escapes, and master baits. The new 'Sike! Not this time!', emote is now available in the shop. Designed by us, but made for you. It's "time" to tilt your opponents - you're welcome.

Astralis League of Legends

100,344 просмотров • 3 лет назад

Everyone is trying to build a support agent. Now you can build one in your CLI that resolves 90% of your support tickets. Today we're launching the Giga CLI. pip install giga-sdk Build, test, deploy, and roll back your AI agents like production software. This is the workflow our customers use to operate AI agents resolving 100,000+ support tickets every day. → CI-gated deployments → GitHub-powered knowledge base syncs → Bulk conversation analysis → Integrating Coding Agents directly into Giga Available now on PyPI.
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Everyone is trying to build a support agent. Now you can build one in your CLI that resolves 90% of your support tickets. Today we're launching the Giga CLI. pip install giga-sdk Build, test, deploy, and roll back your AI agents like production software. This is the workflow our customers use to operate AI agents resolving 100,000+ support tickets every day. → CI-gated deployments → GitHub-powered knowledge base syncs → Bulk conversation analysis → Integrating Coding Agents directly into Giga Available now on PyPI.

Giga

211,994 просмотров • 1 месяц назад

The dream of winning a WSOP bracelet starts long before you take your seat. That’s why we’re launching WSOP Academy. Discover your Poker IQ, learn the game from the ground up, and start building the skills every poker player needs. The next generation of poker players starts here. Start your poker journey now ⬇️
1:00

The dream of winning a WSOP bracelet starts long before you take your seat. That’s why we’re launching WSOP Academy. Discover your Poker IQ, learn the game from the ground up, and start building the skills every poker player needs. The next generation of poker players starts here. Start your poker journey now ⬇️

WSOP - World Series of Poker

51,760 просмотров • 2 месяцев назад

Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!
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Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!

Harjot Gill

4,775,791 просмотров • 3 месяцев назад

Google just released a 1-hour course on building agentic knowledge Graphs from scratch: • 00:00 - Introduction to AI agents • 08:09 - Foundations of multi-agent systems • 13:25 - Introduction to Graph engineering • 23:27 - Environment setup for agentic Graphs • 47:43 - Building Graph RAG agents • 1:25:14 - Agent memory bank with graphs Worth more than 10 articles on loop engineering. Watch it today, then read how to become a graph engineer in the article below.
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Google just released a 1-hour course on building agentic knowledge Graphs from scratch: • 00:00 - Introduction to AI agents • 08:09 - Foundations of multi-agent systems • 13:25 - Introduction to Graph engineering • 23:27 - Environment setup for agentic Graphs • 47:43 - Building Graph RAG agents • 1:25:14 - Agent memory bank with graphs Worth more than 10 articles on loop engineering. Watch it today, then read how to become a graph engineer in the article below.

Codez

194,515 просмотров • 26 дней назад

OptimAI is building a full agentic stack. • OptimAI Search brings real-time decentralized discovery. • OptimAI Claw turns intent into execution on your device. • OptimAI Persona Agent enables domain-specific intelligence with custom knowledge. • Agentic Marketplace makes those agents usable, shareable, and composable. These layers work together: data → agents → execution → distribution. A system where intelligence doesn’t just respond, but operates. Building the agent-native internet. 💡
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OptimAI is building a full agentic stack. • OptimAI Search brings real-time decentralized discovery. • OptimAI Claw turns intent into execution on your device. • OptimAI Persona Agent enables domain-specific intelligence with custom knowledge. • Agentic Marketplace makes those agents usable, shareable, and composable. These layers work together: data → agents → execution → distribution. A system where intelligence doesn’t just respond, but operates. Building the agent-native internet. 💡

OptimAI Network

16,425 просмотров • 3 месяцев назад