Combining Multiple Chains (Prompt Chaining) - FlowiseAI Tutorial #3

#flowiseai #flowise #openai #langchain

We can combine the power of multiple AI models together using Prompt Chaining.
This can be useful to conditionally calling certain models for certain scenarios. We will look at how to conditionally run chains in a future video, but this is an important step for getting familiar with the fundamentals.

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🕒 TIMESTAMPS:
00:00 - Introduction to Prompt Chains
00:34 - Chain #1 Adjusting the Prompt Template
01:32 - Adding a second chain
02:46 - Chain #2 Prompt Template
03:09 - Connecting multiple chains
04:14 - Testing Prompt Chain
04:33 - Changing AI Model
06:02 - A note about the final output

[leonvanzyl]

Enjoy guys! Prompt Chaining is a lot of fun and makes it possible to call chains conditionally, We will look at the IfElse node in this series, and this video will lay the foundation.
Please hit LIKE to support my channel 🙏🙏

[marcusvinicius]

I'm from Brazil and I'm reviewing and applying your Flowise playlist for the second time.

Your free content is better than the courses I bought here.

Thank you very much for sharing your knowledge. <3

[jamesyoungerdds]

Just amazing, thank you! Also, I really appreciate how you explain those little beginner details and avoid assumptions in your explanations - a great tutorial, and a masterclass on how to create a tutorial, much appreciated!

[cyborgmetropolis]

This is awesome. Both the project and the tutorials. When I was trying to learn CrewAI I thought how cool it would be to have all those fields and parameters in a UI instead of hard coded text. And here we are!

[OlafKeller]

This is brilliant. The possibilities are endless. Thank you!

[rahulharivansh]

@leonvanzyl awesome content.
One thing that I'd mention is 'gpt 3.5 turbo instruct' is not a weak model.
But infact "instruct" models are different from "chat" models.
Chat models are optimised for chatting flow whereas instruct are optimised to follow instructions,
In that case instruct models expect a specific format and little more details in set of instructions that it needs to follow, and often time ends up giving more deterministic output compared to chat models

[HideBuz]

God bless you man! I have been battling the UI and couldn't get this to work until I saw your excellent video series! Subbed! Doing god's work!

[ward_jl]

Again great tutorial. Looking forward to the rest of the series!

[Muhakal.]

Thank you for your well organized, detail videos. I want to ask a few questions.1. How can we manage agent conversations, if we have a agent team instead of sequential agent . For example software develepor, architect, ui designer and manager agent that have to talk to each other. There is a hyerarchical and collaborative relation between them. 2- how can we make custom node 3- will it be a sub flow node soon. How can we do sub flow nodes.

[IdPreferNot]

Thank you very much for introducing this amazing tool. I've been bashing through various agent systems and UI's and the flexibility her looks amazing. Its time for me to try to pick an approach/UI I can go deeper on and Langchain looks like it will be one of the survivors. Amazing flexibility here re open source, etc. Look forward to more tutorials... especially with Assistants and Tools.

[SimonPaul-ux]

Thank you very much for the explanation! How can we combine with that? They don't use Templates

[bobbynicholson]

Thank you for all of your videos. Can you explain how to add Supabase Retrieval to Prompt Chains? I can't seem to find anything that allows for this.

[thedavc]

which console are you using and where do I go to review the data?

[brianmartino]

Firstly, thank you for all that you do, Leon.

I have a specific question: is it possible to create a chat flow within flowise AI where I could create one auto GPT supervisory agent and six auto GPT agents, all linked together in a process where each agent would have specific category of responsibility and the process would go through continuing iterations until the final outcome was acceptable?
I know this could be done with chains as you have shown us in this tutorial, could it be done with autoGPT’s, which, for my application would be desirable in order to capture their greater reasoning capabilities.

[Adnan-gvwu]

Question so instead of LLM we can use chat models. So for chat model If we keep the chatGPT to gpt-3.5-turbo-instruct it will give same results correct ?

[Francotujk]

Excellent Leon! This is video is more clear than from the previous course!

The 'output parsers' from Flowise with which nodes should connect? Or they can be there just standing alone?
Thank you

[LinoTadrosTV]

Great Video, thank you! I always get the recipe and the critic, any idea why? You mentioned in the video that it will return only the critic. Thanks again!

[hosst]

Thank you Leon, can you please make a tutorial about chaining different Chatflows where each Chatflow has its own functions, knowledge and purpose. Thank you!

[GilbertMizrahi]

Great video as always.
How do you get both the recipe and the critic in the result (not only in the console)?

[brianglong]

All your tutorials are very extremely helpful and very well presented. Thanks! Can you please do a tutorial on uploading a document in Indonesian and translating to English (or any two languages). I can't work out the logic of the flow. Thanks again!!