正在加载视频...
视频加载失败
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... show more
11 条评论

Repository:

⏰ 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! 🔗

@GoogleDeepMind @reactjs @LangChainAI this is awesome

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

@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. 🔥

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

@GoogleDeepMind @reactjs @LangChainAI

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

@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.

@GoogleDeepMind @reactjs @LangChainAI Agetic is the future

@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?

