LangChain wouldn't be what it is today without our community! We're thrilled to introduce two new community initiatives: 🌟 LangChain Community Champions: Building LangChain is a team effort — over 3,500 amazing contributors have poured their time into making LangChain the vibrant ecosystem it is today. Our Community Champions are our MVPs — squashing bugs, tackling issues, adding new features, and crafting great docs. They enjoy direct access to the LangChain team, influence the roadmap, get priority reviews, and score some swag! 🤝 🌍 LangChain Ambassadors: The LangChain Ambassador Program brings together our most passionate community volunteers from across the globe. Whether they’re hosting meetups, leading vibrant local or digital communities, or creating amazing educational content, they’re making LangChain accessible for everyone. 💚 And the best part? Ambassadors get special perks like sneak peeks at new products, grants to sponsor their events, and free access to LangSmith. Check out our current Community Champions and Ambassadors ➡ https://lnkd.in/gkAp65xt
About us
We're on a mission to make it easy to build the LLM apps of tomorrow, today. We build products that enable developers to go from an idea to working code in an afternoon and in the hands of users in days or weeks. We’re humbled to support over 50k companies who choose to build with LangChain. And we built LangSmith to support all stages of the AI engineering lifecycle, to get applications into production faster.
- Website
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langchain.com
External link for LangChain
- Industry
- Technology, Information and Internet
- Company size
- 11-50 employees
- Type
- Privately Held
Employees at LangChain
Updates
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How did Replit build an agent that creates fully functional apps in just minutes? Get the inside scoop with President of Replit, Michele Catasta, at our meetup TOMORROW, Monday Sep 30th in San Francisco. 🤓🪄 Join Michele and our CEO, Harrison Chase for a fireside chat where they'll dive into how Replit Agent — the cutting-edge AI tool helping anyone build functional apps in minutes — was built. We'll also cover the tech powering their agent interactions, including LangGraph and LangSmith. Don't miss this chance to ask your AI agent questions live! 👉 Spots are limited, RSVP here: https://lu.ma/0inki1jq
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⭐️Community Content 🧠How to add memory to LangGraph ReAct agent: Python & Node.js This educational video covers how to add memory to LangGraph agents. It uses the built in checkpointer to make this a breeze! https://lnkd.in/grMgVfZs
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🏄♀️SurfSense SurfSense is a Personal AI Assistant for anything you see (Social Media Chats, Calender Invites, Important Mails, Tutorials, Recipies and anything) on the internet Creates a personal knowledge base anything about your saved content https://lnkd.in/gPHt2t7X
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Good recap of some our recent advancements in the LangGraph ecosystem ☁️LangGraph Cloud: for deployment 🖼️LangGraph Studio: for debugging 🪖LangGraph Engineer: for developing LangGraph isn't just the OSS sdk - there's a bunch of other tools as well https://lnkd.in/gp9NtJck
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📹ReelsMaker ReelsMaker is a Python-based/streamlit application designed to create captivating faceless videos for social media platforms like TikTok and YouTube 💬AI-Powered Prompt Generation ✒️Subtitles Generation 🗨️Text-to-Speech https://lnkd.in/g9kPWASw
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LangChain reposted this
The hottest AI application launch of the last month was Replit Agents Lot's of people are wondering how to put agents in production, and they figured it. I'm sitting down with Michele Catasta (President) to dive into the details 🤓 Join us this Monday! https://lu.ma/0inki1jq
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🌐Page Assist OSS TypeScript chrome extension with LangChain.js & Ollama Contains both a standalone chat window, but also a side panel you can access while viewing any website! GitHub repo: https://lnkd.in/gFtrbGer
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📰How to enrich classified ads in real-time using AI, GlassFlow, and LangChain By using AI to enrich classified ads you can provide better search and a better browsing experience. This concept of data enrichment can be used in other domains as well https://lnkd.in/gMzGuJtD
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Sophisticated Controllable Agent for Complex RAG Tasks 🧠📚 This project showcases a sophisticated deterministic graph acting as the "brain" of a highly controllable autonomous agent capable of answering non-trivial questions from your own data https://lnkd.in/gExNWqXc