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🔥 New LangChain Academy Course: LangChain Essentials (Python & TypeScript) 🔥 Learn the basics of LangChain – our open source framework that makes it easy to start building agents with any model provider. Last week, we released LangChain 1.0. We’ve completely rewritten LangChain to be opinionated, focused, and powered...

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LangChain

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50,518 görüntüleme • 11 ay önce •via X (Twitter)

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Himanshu Kumar profil fotoğrafı
Himanshu Kumar11 ay önce

LangChain's rewrite signifies a crucial evolution for developers. It simplifies AI agent creation, promising broader accessibility and innovation in the field.

Gerardo Garcia profil fotoğrafı
Gerardo Garcia11 ay önce

@langchain Academy LangGraph Essentials

Mohamed Anis profil fotoğrafı
Mohamed Anis11 ay önce

The shift to opinionated design choices in 1.0 signals LangChain is prioritizing developer velocity over flexibility - smart move given the current AI tooling landscape

Appunik Studio profil fotoğrafı
Appunik Studio11 ay önce

Can't wait to clone this and see it in action.

brokenJar profil fotoğrafı
brokenJar11 ay önce

Bro, why do the speakers look so artificial? Don't they blink?

Tobe Duru profil fotoğrafı
Tobe Duru11 ay önce

great resource for getting started fast

TechAI profil fotoğrafı
TechAI11 ay önce

Exciting for anyone diving into agents — LangChain Essentials makes it easy to get started with Python or TypeScript, especially with the new 1.0 improvements and LangGraph-powered runtime.

Sri Agung profil fotoğrafı
Sri Agung11 ay önce

real build hours

Omar profil fotoğrafı
Omar11 ay önce

I just started the course, and I'm facing problems with running the studio after i replaced anthropic with google gemini It just freezes in the model call

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🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn how to debug their behavior with LangSmith. Along the way, you’ll: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug your agent with LangSmith Observability & Studio By the end of the course, you’ll have assembled a full team of personal assistants. Enroll for free ➡️
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🌟Our latest LangChain Academy course – Deep Agents with LangGraph – is now live!🌟 Many agents today follow the same simple pattern: run in a loop, call tools. That architecture works well enough, but it breaks down as tasks get more complex. Today, companies of all sizes – from startups to large enterprises – are building their own Deep Agents. These agents dive deeper. They’re able to plan complex tasks and carry them out over longer time horizons. There are four key features that set Deep Agents apart from regular agents: 1. Planning – keeps agents on track 2. File system – allows agents to offload context 3. Sub-agents – act as focused specialists 4. Prompting – provides agents with detailed instructions Our latest LangChain Academy course, Deep Agents with LangGraph, shows you how to combine these pieces with LangGraph to orchestrate long-running, multi-agent workflows. Big thanks to community member Dmitry Labazkin for helping us shape this course with his contributions! Enroll for free ➡️

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