Build a FREE AI Chatbot with LLAMA 3.2 & FlowiseAI (NO CODE)

In this Llama 3.2 and Flowise tutorial you will learn how to create a free, local RAG chatbot that can answer questions from your own knowledge base.

Llama 3.2 is the latest open source LLM released by Meta and offers some impressive reasoning capabilities.

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🕒 TIMESTAMPS:
00:00 - Intro
01:07 - Setting up Ollama
01:35 - Downloading Llama 3.2
02:24 - Downloading Embedding Model
02:58 - Setting up Flowise AI
03:37 - Starting Flowise
04:17 - Creating Document Store
06:42 - Upserting docs into Vector Database
08:19 - Creating the Chatbot

[leonvanzyl]

What do you think about the new Llama 3.2 models?
Remember to hit the like button and subscribe to boost the video in the YT algorithm.

[ygdiget]

I really love your videos! I would really love to see an in-depth video of you comparing Langflow, Flowise, n8n, VectorShift, etc!

[dliedke]

Very nice, I followed the guide and worked just fine. Thanks a lot for the detailed tutorial. I generated some document data samples with Claude :D

[researchandbuild]

I got it working locally, nice video thank you so much for showing this. I wonder though how could I embed this into a product? Seems that I have to at least run a node server to run the chatbot?

[Kafuixx]

Hi Leon, love this video as a coding noob looking to create an ai enterprise app for a business. Is it possible using this method. And if so how can this be embedded into that product

[laflammedenis]

Great video. Standing by for my Flowise invite - would love to see "How to Fine Tune llama 3.2"

[rauldiaztorres]

Great Leon !!! Thanks for the tutorial, very simple and work fine ! 🏅🏆🎖

[maniecronje]

Thank you Leon another amazing FW tutorial -unfortunatelly the hallucination issues using RAG still an issue not something you can use in PROD unfortunatelly - looking fwd to next FW video 'dankie Leon'

[KiWelten]

Amazing tutorial, exactly what I was looking for!

[BrianDevJourney]

Great tutorial Leon!! I reached out to your email about a sponsor opportunity. Cheers!

[MyFukinBass]

Amazing. Thanks for the content. Is it possible to take this bot elsewhere? Say if I ever wanted to have a bot like this on an app like Slack or Discord?

[mortu]

Hi Leon,

Thank you so much for all the work you’re doing—it’s greatly appreciated! I’ve just become one of your subscribers and I’m really looking forward to your tutorials. I have a question that’s been driving me a bit crazy: Is it possible to implement a chatflow developed in FlowiseAI to work with the frontend of OpenWebUI? I tried to create a pipeline and uploaded it to OpenWebUI but couldn’t get it to work. Is this achievable?

Thanks again!

Thank you. Any chance doing the video how to deploy this and use it in the cloud or on a website?

[jakkalsvibes]

Thank you Leon for the detailed explanations, Just need to know is there a bug Clearing Chat History or am I missing something

[henriquemoniz]

Is flowise collecting any info (resources based on metadata and namespaces) that could potentially extract private information?

[AhmedMeklad]

Wow, I think this is an advantage for the developers and the geeks.

[karthikeyakuncham]

Hey nice video leon....but in my Rag chatbot I am using a tool agent and I need to pass the context which I have embedded in vector db in chat prompt template so that the agent can analyse whether the question is related to the docs provided or context provided ....how can I pass it?....i just want my chatbot not to give answers for unrelated questions. can you please help me with this

[adrianobernagozzi-iktecno]

Great video, I'm doing a training but the text I'm using is in txt format and is very large, sometimes the questions have answers that make sense and other times they don't. Do you have any tips?

[JoaoCarlos-bpip]

Thanks Leon, another great tutorial. What is the minimum hardware requirements to run this setup?

[LamaChandrasena]

Very useful. Thanks. Is it possible to automate document loading (as new docs become available), for example by running a script or copying files into a folder etc, or it has to be manually done everytime through the UI as you demonstrated? Thanks.