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New Example! We built a fullstack open “Deep Research” quickstart for Google DeepMind Gemini 2.5. It dynamically searches the web, reflects on results, and delivers comprehensive answers with citations in a nice UI with streaming! Built using React and LangChain Langgraph! 🚀 TL;DR: 🔄 Agent iteratively loops through research...

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Philipp Schmid

48,237 subscribers

55,535 görüntüleme • 1 yıl önce •via X (Twitter)

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Philipp Schmid1 yıl önce

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TXYZ1 yıl önce

⏰ Countdown alert! 🚀 Get free access to our new AI Writing feature before Dec 1st! Don't miss your chance to explore its power. Try it now—no cost, no catch! 🔗

Logan Kilpatrick profil fotoğrafı
Logan Kilpatrick1 yıl önce

@GoogleDeepMind @reactjs @LangChainAI this is awesome

foxhu profil fotoğrafı
foxhu1 yıl önce

@GoogleDeepMind @reactjs @LangChainAI Great example，thanks for sharing！

AmyHayes profil fotoğrafı
AmyHayes1 yıl önce

@GoogleDeepMind @reactjs @LangChainAI Wow, this looks amazing! The dynamic web search and streaming UI are next-level. @CharlesMooreX1, your market insights helped me see the potential in tools like this—appreciate the clarity! Can't wait to try it out. 🔥

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Prashant1 yıl önce

@GoogleDeepMind @reactjs @LangChainAI Now we are talking .. thank you team. these quick starts are such a good way to help adoption

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aditya1 yıl önce

@GoogleDeepMind @reactjs @LangChainAI

emf profil fotoğrafı
emf1 yıl önce

@GoogleDeepMind @reactjs @LangChainAI Add feature custom sources from bookmark browser would be nice

Tsukuyomi profil fotoğrafı
Tsukuyomi1 yıl önce

@GoogleDeepMind @reactjs @LangChainAI a fullstack open 'Deep Research' quickstart? sounds like a fancy way to make googling less painful. kudos for making AI a bit more user-friendly, but let's hope it doesn’t end up being another data vacuum. we know how that goes.

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Artale1 yıl önce

@GoogleDeepMind @reactjs @LangChainAI Agetic is the future

Stephen Rayner profil fotoğrafı
Stephen Rayner1 yıl önce

@GoogleDeepMind @reactjs @LangChainAI So cool, glad to see people using LangChain. How did you find it? And did you know going in you would use it, or did you consider Vercel AI SDK? Also is this open source?

Benzer Videolar

Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:
0:57

Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:

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AI Mode in Search introduces new reasoning and tools under the hood with a custom version of Gemini models. For any question, it makes a plan, breaks it down into related subtopics, and runs multiple Google searches to find the most helpful and reliable info. With this query fan-out, AI Mode finds real-time info from both the web and from Google, like facts from our Knowledge Graph, info about the real-world, and shopping details on billions of products. This approach helps you get a greater breadth and depth of information than a traditional search on Google.
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AI Mode in Search introduces new reasoning and tools under the hood with a custom version of Gemini models. For any question, it makes a plan, breaks it down into related subtopics, and runs multiple Google searches to find the most helpful and reliable info. With this query fan-out, AI Mode finds real-time info from both the web and from Google, like facts from our Knowledge Graph, info about the real-world, and shopping details on billions of products. This approach helps you get a greater breadth and depth of information than a traditional search on Google.

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New generative UI experiences in the Google Gemini and AI Mode in Search use Gemini 3’s multimodal understanding capabilities to make entire user interfaces for you from scratch — dynamically delivering what you need in a visual and interactive way. Google Research software engineer Yaniv Leviathan shares more about the process of building generative UI (hint: so much fun that the team couldn't stop playing with it) and how he's been using it so far.

Google

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We built Open Gamma An Open Source Presentation Generator with Composio Tool Router and AI SDK - Generate Presentations in Google Slides instantly - Can research on the topic with web search - Can connect and fetch data from multiple data sources like Hubspot, Slack, Notion and more Completely free and open source link to the code:
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We built Open Gamma An Open Source Presentation Generator with Composio Tool Router and AI SDK - Generate Presentations in Google Slides instantly - Can research on the topic with web search - Can connect and fetch data from multiple data sources like Hubspot, Slack, Notion and more Completely free and open source link to the code:

Karan Vaidya

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🔹STORM🔹 Stanford University’s free, public app automates comprehensive research and report generation using AI to create Wikipedia-style articles with citations from web sources. STORM is incredible. I asked it to write a research paper about the use of AI in DNA analysis and predicting genetic traits - got a comprehensive article with citations. It takes about 3 minutes and you can download the PDF:
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🔹STORM🔹 Stanford University’s free, public app automates comprehensive research and report generation using AI to create Wikipedia-style articles with citations from web sources. STORM is incredible. I asked it to write a research paper about the use of AI in DNA analysis and predicting genetic traits - got a comprehensive article with citations. It takes about 3 minutes and you can download the PDF:

Heather Cooper

176,213 görüntüleme • 1 yıl önce

Someone built a new research page builder called HyperPages. It turns any topic into a complete article with sources, images, and interactive editing. It searches the web, gathers sources, generates structured sections, adds images, and formats everything automatically. Open source and built on top of Hyperbrowser.
0:49

Someone built a new research page builder called HyperPages. It turns any topic into a complete article with sources, images, and interactive editing. It searches the web, gathers sources, generates structured sections, adds images, and formats everything automatically. Open source and built on top of Hyperbrowser.

AshutoshShrivastava

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Here’s how Gemini 2.5 Flash-Lite built a research prototype that can instantly transform large PDF files into interactive web apps - making it easier to summarize and understand dense information. 📄 Try it now in Google AI Studio →
2:05

Here’s how Gemini 2.5 Flash-Lite built a research prototype that can instantly transform large PDF files into interactive web apps - making it easier to summarize and understand dense information. 📄 Try it now in Google AI Studio →

Google DeepMind

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Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangChain LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇
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Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangChain LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇

CopilotKit🪁

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I built a multi-agent Deep Research team using Qwen 3 that can generate consulting style reports as Google docs. It has 3 AI Agents working together as a team: 1. Research Question Agent 2. Web Search Agent 3. Google Docs Compilation Agent 100% Opensource Code.
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I built a multi-agent Deep Research team using Qwen 3 that can generate consulting style reports as Google docs. It has 3 AI Agents working together as a team: 1. Research Question Agent 2. Web Search Agent 3. Google Docs Compilation Agent 100% Opensource Code.

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📋 Open Multi-Agent Canvas Plug-in any LangGraph agents, then chat with them. Including Generative UI, state streaming, and automatic agent routing. New template for learning how to add frontend features to LangGraph agents. Try it out: LangChain
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📋 Open Multi-Agent Canvas Plug-in any LangGraph agents, then chat with them. Including Generative UI, state streaming, and automatic agent routing. New template for learning how to add frontend features to LangGraph agents. Try it out: LangChain

CopilotKit🪁

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Introducing Shadify: Generative UI built on ShadCN Simply describe a UI and watch your LangChain agent compose from @ShadCN on the fly, using AG-UI and CopilotKit🪁. Then export it as React code. Repo below. Try it out here:
0:36

Introducing Shadify: Generative UI built on ShadCN Simply describe a UI and watch your LangChain agent compose from @ShadCN on the fly, using AG-UI and CopilotKit🪁. Then export it as React code. Repo below. Try it out here:

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Empower powerful research and content creation with our new multimodal Gemini 2.5 researcher, built together with LangChain.
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Empower powerful research and content creation with our new multimodal Gemini 2.5 researcher, built together with LangChain.

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It's finally here! Untitled UI React is live ✨ Untitled UI React is the world’s largest collection of open-source React components built with Tailwind CSS v4.1 and React Aria. Just copy, paste, and build. 👇
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Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:
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Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

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Bytedance, opensourced DeerFlow (Deep Exploration and Efficient Research Flow) LLM + Langchain + tools (web search, crawler, code exec). Its a community-driven Deep Research framework.
1:27

Bytedance, opensourced DeerFlow (Deep Exploration and Efficient Research Flow) LLM + Langchain + tools (web search, crawler, code exec). Its a community-driven Deep Research framework.

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I built a Deep Research AI Agent team using OpenAI Agents SDK and Firecrawl. It combines multiple AI agents that can autonomously search the web, extract content, and generate detailed reports with enhanced analysis. 100% Opensource Code with step-by-step tutorials.
1:29

I built a Deep Research AI Agent team using OpenAI Agents SDK and Firecrawl. It combines multiple AI agents that can autonomously search the web, extract content, and generate detailed reports with enhanced analysis. 100% Opensource Code with step-by-step tutorials.

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50,831 görüntüleme • 1 yıl önce

Introducing "gap analysis"—new addition to scira's "extreme" mode! how it works—after the research plan is executed—the LLM will run a gap analysis to find the gaps in the results of the research plan and then search for the gaps and fill the information—and finally run a final synthesis or the information! other fixes: - you can now switch llms in-between conversations - you will have a dedicated regenerate button to re run the search or dedicated action by the same model - improved web search UI
1:09

Introducing "gap analysis"—new addition to scira's "extreme" mode! how it works—after the research plan is executed—the LLM will run a gap analysis to find the gaps in the results of the research plan and then search for the gaps and fill the information—and finally run a final synthesis or the information! other fixes: - you can now switch llms in-between conversations - you will have a dedicated regenerate button to re run the search or dedicated action by the same model - improved web search UI

Scira AI

15,428 görüntüleme • 1 yıl önce

Introducing Open Research - our open source agentic research app 🔥 It traverses web for you and thinks between tool calls with page context for more sophisticated reasoning while finding an answer. Fork the example and build your own web researcher today 👇
0:41

Introducing Open Research - our open source agentic research app 🔥 It traverses web for you and thinks between tool calls with page context for more sophisticated reasoning while finding an answer. Fork the example and build your own web researcher today 👇

Firecrawl

51,666 görüntüleme • 11 ay önce