Link for LangChain-based n8n installation: docs.n8n.io/langchain/access-langchain/ n8n cloud-based instance to quickly get started (affiliate): app.n8n.cloud/try-ai?ref=mjm3ymu&tap_s=4166957-1d7b59
Hey Misbah! I just completed your course in Udemy. (in one afternoon - that's how excited i am about this, haha!) Watching this video about n8n - gave me a feeling that this is much more powerful than Flowise/Langflow. Comparing these 3 tools - should I just jump on n8n? Or is there any merit to continue with flowise? (i'm a total beginner btw) Thanks a lot if you find a minute. If not - thanks a lot for all you do here!
That’s awesome! N8N and flowise have their own pros and cons. Flowise provides regular updates based on langchain, whereas n8n is a bit slow. On the other hand n8n has a lot of integrations. I would suggest to keep both in your toolbox.
Thanks for informing, added the correct link for open-source version with LangChain in the description and comment now. It's at docs.n8n.io/langchain/access-langchain/
Thanks for the video! One questions about Langchain on n8n, how to have an agent that have both Memory and Retrievel. I was trying using the Conversational Agent node since it has memory, and using the Q&A Retrievel node as a tool for the conversational agent, but couldn't make it work. Appreciate any advice. Thanks!
Thanks for informing, added the correct link for open-source version with LangChain in the description and comment now. It's at docs.n8n.io/langchain/access-langchain/
@@luizhenriquepaes8991 most viewers are just viewers or beginners. N8n have been a secret weapon of many devs but now everybody knows about it. However most people don't have the drive to do anything anyway.
It'd be great to see use cases with bubble, thanks for this great content! Also, again in terms of use cases, when would you recommend to go with something like Stack AI (or Flowise) vs n8n (or make or zapier,). @@menloparklab
n8n seems to have an advantage of many pre-built integrations. Though it still only offers a few LangChain components. Flowise and LangFlow has a lot more options so far, as they are built on LangChain.
![Build Your Own AI Chatbot for Documents with n8n (No Code Required!) [Part 1]](/img/1.gif)
Congratulations for your professionalism, a world of new opportunities is opening up, thank you for sharing your skills with us.
Thanks for following along the journey! 🫶
this is mind blown... I write langchain api myself and i can already see what i can do in here. good work man i would get started
Amazing video Brother, really useful. TKANK YOU SOO MUCH!!!
This is amazing! Thank you!
Love this kind of content man keep it up
Thanks for the kind words 🫶
Very powerful, thanks
Your videos are always 🔥. Nicely done
Appreciate it!
Link for LangChain-based n8n installation: docs.n8n.io/langchain/access-langchain/
n8n cloud-based instance to quickly get started (affiliate): app.n8n.cloud/try-ai?ref=mjm3ymu&tap_s=4166957-1d7b59
what are the main differences between n8n agents and flowise agents?
Which one you think is better and for what?
Hey Misbah! I just completed your course in Udemy. (in one afternoon - that's how excited i am about this, haha!)
Watching this video about n8n - gave me a feeling that this is much more powerful than Flowise/Langflow.
Comparing these 3 tools - should I just jump on n8n? Or is there any merit to continue with flowise? (i'm a total beginner btw)
Thanks a lot if you find a minute. If not - thanks a lot for all you do here!
That’s awesome! N8N and flowise have their own pros and cons. Flowise provides regular updates based on langchain, whereas n8n is a bit slow. On the other hand n8n has a lot of integrations.
I would suggest to keep both in your toolbox.
subscribed, please do more🙏🙏
Hello, could you help me understand if my ideas are feasible?
I don’t see these options in a self host n8n container. What am I doing wrong?
Thanks for the amazing video. I saw that free version does not have access to Advanced AI section
Thanks for informing, added the correct link for open-source version with LangChain in the description and comment now. It's at docs.n8n.io/langchain/access-langchain/
i have self hosted n8n but yours have more options than mine. how can i get the extra options?
Why can't I see the same nodes as you when I download open source? Can you resend the most accurate Github link?
You might have to download their ai enabled version, which is a bit different than the regular version
Thanks for the video!
One questions about Langchain on n8n, how to have an agent that have both Memory and Retrievel.
I was trying using the Conversational Agent node since it has memory, and using the Q&A Retrievel node as a tool for the conversational agent, but couldn't make it work. Appreciate any advice.
Thanks!
could you make a retrieval workflow separate and call it as a workflow tool for the agent.
does it have a chat widget that can be embedded and customized? thanks
so basically we ditch flowise and langflow?
haha, not really. I think each tool has it's own benefit.
If I deploy n8n myself, it looks like the community version doesn't have AI-related nodes yet.
Thanks for informing, added the correct link for open-source version with LangChain in the description and comment now. It's at docs.n8n.io/langchain/access-langchain/
@@menloparklab Wow! Thanks, It's so nice!
Did I get that correct that n8n can pull documents from any connected Google Drive folder and work on them?
That's right! Seems like a pretty good tool actually. Still exploring though.
Do you know how we can override system prompts like we do in flowise?
oh that's a good questions. In the parameters, there is either Query or Question blank, that can be modified to enter any system prompt.
Nooooo! Don't tell the world about n8n!
19k views brother, probably no one here is in the same market as you. Also, most of viewers probably already knew N8N
@@luizhenriquepaes8991 most viewers are just viewers or beginners. N8n have been a secret weapon of many devs but now everybody knows about it. However most people don't have the drive to do anything anyway.
What about frontend?
you could use any frontend tool, a simple open-source one could be appsmith. Paid options could be bubble, flutterflow, adalo etc.
It'd be great to see use cases with bubble, thanks for this great content!
Also, again in terms of use cases, when would you recommend to go with something like Stack AI (or Flowise) vs n8n (or make or zapier,).
@@menloparklab
The community version doesn’t have access to manual chat and advanced ai unfortunately.
Please follow the installation link provided in the description for the ai version.
@francoisneko It most definitely has, you just need to use the AI image which is `ai-beta`.
In this case, will the N8N replace FlowiseAI?
n8n seems to have an advantage of many pre-built integrations. Though it still only offers a few LangChain components. Flowise and LangFlow has a lot more options so far, as they are built on LangChain.
no support for azure openai
not yet, but most likely will be added in the future.