Hello, Product Hunt! We're back with an exciting launch we've been working on over the past few weeks! n8n's mission is to give everyone who uses a computer technical superpowers. It's no secret that AI will revolutionize both our personal and professional lives. Today, we're thrilled to unveil a major step forward: n8n's LangChain integration. We've observed that AI is making headway, particularly in professional contexts. However, large language models can sometimes yield inaccurate or context-deficient outputs or even "hallucinate." This points to an increasing need for AI-powered apps that work over controlled data sets to improve the accuracy and efficiency of AI applications. Our decision to integrate with LangChain was driven by community demand and its alignment with n8n's philosophy of modular building blocks and swappable components. This integration speeds up LLM app building in a low-code environment while maintaining the flexibility and customization that n8n is known for. Enhanced by straightforward deployment features like our new chat widget, you can now build comprehensive AI-powered apps with automated workflows quicker than ever. We're excited to explore the multitude of potential use cases this opens up and can't wait to see what the community will develop with this new integration. You can try it at n8n.io/langchain, available in cloud and self-hosted versions. Please note that this is still a beta, and we're eager to hear your feedback to continue improving the experience. Thank you for your continued support. We're looking forward to engaging with you in our community channels.

Was already using n8n for all of my AI workflows. I got to test the alpha for this and it's really good. It's crazy to think of the amount of great things that will be built by giving less technical people the tools to build with AI. Truly an insane time to be alive.

Congratulations to the entire n8n team on creating this amazing release! It's been a pleasure to explore the new AI nodes, and I'm absolutely stunned by the possibilities that this update opens up. I'm really looking forward to creating AI-supported workflows to enhance business processes. Great work, and I wish you all the best!

I've had the opportunity to try the alpha of this feature (I work at n8n) and have not been this excited about a feature for a while! My aha moment was when it took me ~15 seconds to give ChatGPT all the knowledge of wikipedia; something that would have had me banging my head against the wall if I tried to do this natively in code. Will definitely be using this one in my free time!

It has been a lot of fun helping with this one and I can’t wait to see what the community creates 🎉 One of the things I have started on is a chat bot to let me interact with my home-lab hosts, I am fairly sure it won’t be long until I am setting up local n8n instances for testing using an n8n workflow with LangChain.

Congrats team! This is so exciting and nice to see n8n add meaningful features so often. I can't wait to play around with n8n and LangChain 🪄

Congratulations Great launch @janoberhauser. n8n is getting more powerful by the day.

Well done Jan and team! Keep pushing!

Super update. Will help more people get involved with LLMs.

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🎊🎊CONGRATULATE 🎊 🎊

Very neat--congrats n8n team! excited to try this for a RAG use case. - Is Cloudflare r2 supported as a data source? - Curious to hear how you're thinking about observability in scope of LangChain and LLM apps in general.

Can't wait to try it, n8n is the best kept nocode secret. PS Launch this on devhunt.org !

Here a cloud n8n user ! Happy to test it !! Let’s rock n8n!!!!

gonna share this with my team Jan, i love it !

Nice addition to product. Congrats

That’s awesome! I’ve been using n8n for years, now having Langchain capabilities is a major step up Congrats on the launch!

Magic! So insanely good. Allows for building of complex LLM-backendapplications with integrations. Fantastic! Just missing support for streaming the result back to my client side application.

Jan, I just discovered n8n and the integration with LangChain. I've used a few of the example workflows and I'm very impressed! Thank you for this.