✨ Today, we’re thrilled to announce ✨ - The general availability of LangSmith (no more waitlist!) - Our Series A fundraise led by Sequoia Capital - Our beautiful new homepage and brand We've worked hard over the past few months to add requested features and ensure LangSmith can operate at scale. We’re now confident in saying that it is the most complete platform for building production-grade LLM applications, whether or not you’re using LangChain. Learn more here: https://lnkd.in/gZxW8X_V and sign up here: https://lnkd.in/dwXZt_ZT Our series A round will give us the capital needed to grow our open source and platform offerings. Working with Sonya Huang, Romie Boyd, and the rest of the Sequoia team has been a privilege so far! https://lnkd.in/g8nw36_Z Finally, we’re excited to unveil our new homepage and brand. Dive into our new website at https://www.langchain.com/ to see the changes for yourself, explore the expanded resources, and discover what LangChain, LangSmith, and LangServe have to offer. PS — we’re hiring! Explore our careers page and reach out if you think you’re a fit for any of our open positions! https://lnkd.in/g9rXjrvC
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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✍️ Editing Graph State with LangGraph Agents 🤖 For some agent applications it's not enough to add breakpoints - you may also want to edit the state at that point in time. A prime example is allowing the user to edit tool calls that an agent is making to correct it or guide it back on path! See how to do that below. 📽️ Watch the video: https://lnkd.in/g-g7THij 📓 Read the docs: https://lnkd.in/g5ypnXFd
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With the Exa integration with LangChain, you can easily use web data and create more powerful RAG responses. Today, Exa released a smarter model, with hybrid search, a bigger index, and default Google fallback. You can use Exa Search to power LangChain tools and find relevant documents, and import relevant libraries and components from LangChain libraries for improved querying. 📓 Check out the docs: https://lnkd.in/gzAMhXu6 👀 See Exa's announcement: https://lnkd.in/gHhQPnxC
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🇪🇺 EU Data Residency for LangSmith 🇪🇺 We're excited to offer EU data residency to LangSmith customers on all plan tiers, at no extra cost. You can now choose to host your data in the EU (instead of the U.S.) to meet the data residency requirements of your company. LangSmith is GDPR compliant, as well as SOC 2 Type II and HIPAA compliant. For any questions, reach out to [email protected]. To get started: ➡️ Sign up for EU-based LangSmith service: eu.smith.langchain.com 📓 Learn more about regional storage: https://lnkd.in/g2mpyZ2H ❓FAQs on our EU data residency: https://lnkd.in/gKDPcjnE
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✍️ Choose-your-own-adventure story writing with LLMs ✍️ In the video below, we build an app that can do story writing in a choose-your-own-adventure style. See how to write, edit, and continue stories interactively with the help of a LangGraph agent, which persists information about the story's content, chapters, and relationship with other chapters in the story — then deploy it on LangGraph Cloud. Users can also navigate through previous, next, and current chapters with ease while providing feedback on writing quality, which is sent to traces in LangSmith for improvement. 📽️ Video: https://lnkd.in/gBb7zcSu 👩💻 GitHub repo: https://lnkd.in/gvmBq--a ✨ Try the app: https://lnkd.in/gzSx7jyV
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🔒 We're excited to announce that LangSmith — our unified developer platform for building, testing and monitoring LLM applications — is now SOC 2 Type II compliant. After a rigorous audit process, LangSmith has been certified to conform to industry best-practices for the protection of data and for security procedures. 🔒 Security and compliance is important to us and to our growing list of enterprise customers. We're thrilled to be able to serve everyone more effectively. ➡ Sign up for LangSmith: https://lnkd.in/gbbj5tf5 ➡ Speak to a LangSmith expert: https://lnkd.in/gTptdq4e ❓ Questions? Reach out to [email protected].
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✈️PR Pilot An AI agent for your development workflow that can search and manipulate the code base, browse the internet and interact with Github issues and pull requests Fully open source! Code: https://lnkd.in/g-Bi2XYB
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☁️🤖 Deploying a multi-agent flow with LangGraph Cloud and GPT Researcher Our latest guest post by Elisha Kramer, Tech Lead at Fiverr, shows how to deploy LangGraph Cloud and integrate seamlessly with open source AI research agent GPT-Researcher by Assaf Elovic. In just a few steps, he walks through how to query the LangGraph API server and trigger a multi-agent LLM workflow. ✍️ Read the full story: https://lnkd.in/eve_45z6 ✨ Check out the latest version of GPT Researcher, out today: https://lnkd.in/ectb77TT
Introducing the Latest GPT Researcher Update! 🚀
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🏗️Build application specific cognitive architectures, not generic agent infrastructure A custom cognitive architecture will absolutely make your application differentiated, while the generic agent infrastructure is less likely to What's the difference? https://lnkd.in/gMRGpiz4
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🐒🐒Tribe AI ✨ Low code tool to rapidly build and coordinate multi-agent teams ✨ Lot's of folks have been asking for a low-code builder for multi-agent LangGraph applications This open source project does exactly that! Code: https://lnkd.in/gDcqkzTT
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