Build a RAG Based LLM App in 20 Minutes! | Full Langflow Tutorial

When i heard OpenAI, I closed the video. Can you for the sake of fuck create something totally open and free. Since the shit, OpenAI is not open at all. It is damn expensive shit

Hi.
Can we add function calling also with RAG, using Langflow.

Sadly langchain is pretty mediocre.

Hi Tim, great video! I wonder if it is possible to export as python code or similar instead of json ?

I am using Hugging Face to run Langflow. I got to the first test run of the OpenAI connection. I have a funded account and valid secret key entered but get the following error after asking a question. Error building component error building vertex openAI: Openaimodelcomponentbuild() missing 1 required positional argument: 'openai_api_key' Any thoughts? Not much out in Stack or Git world.

that was well presented..

It would be really helpful if the app can query a database instead of the ped doc and give results in natural language...

Another alternative is to use AnythingLLM + (LMStudio, LocalAI, oolama, openai, google gemini or other)

I keep getting the error "Could not install packages due to an OSError: [WinError 5] Access is denied:" when I try to install it - pretty certain admin privileges are there throughout. Any ideas why this is happening?

Tim, I was trying to understand the RAG topic from the codes, but I was having difficulty understanding what the sequence was. It was a very clear and great video. Please don't deprive us of your knowledge. Thank you very much.

Please use open LLM flow for rag. Thanks.

Great content - can you please clarify whether the input pdf can be also some unstructured text data or code ? If not,is there a way to to do that ?

Also what Tim is showing is the pre-release version which is quite different from the stable version (ie: you want have input block etc...). Simplest way to get this up and running on m1 mac is basically do " docker compose -f ./docker_example/pre.docker-compose.yml up` however you need to add "platform: linux/x86_64" to langflow service docker compose file ie:
docker_example git:(dev) ✗ cat pre.docker-compose.yml
version: "3.8"

services:
langflow:
platform: linux/x86_64
image: logspace/langflow:1.0-alpha

Great!
how can we implement this in an app of our own, does langflow provide api for that?

Thks Tim u r the best...

Hey Tim I didn't find the input option on the side bar

Is there a way to have the bot do a greeting in the beginning?

my left menu is entirely different...mine looks like the one in the docs e.g "inputs" "outputs" I have neither

Does anyone know if it is possible to run llama 3 with groq using this yet?

For the langflow that we build, is there a way for get the source code of it?

If this tool is free, then it’s a game changer

Cannot seem to get this running with Ollama. Get an error "Error building vertex Ollama: Chat ollamaComponent.build()missing 1 required positional argument: 'base_url'

can we use this as a seprate microservice secondly integrate it with a hugging face llm, embeddings are cheap but q/a is expensive on opne ai

hey, i cannot see the input option on the side bar, pls assist me

i couldnt even able to install langflow have any one tried installing langflow its giving me so many errors

a-pah-chee 🤣

langflow is cool

free APIs

I wonder, what's the real difference between Langflow and Flowise for instance? Are they just like the same thing, competing application for the same thing basically?

Can you make a video about creating a chat program with files that will be local without the Internet?

Thank you for your wonderful effort and excellent explanation in conveying the information.

Very helpful, very clearly explained - thanks a ton!

Tim. Honestly your a beast bro!! What tips can you give me to learn python asap!!!???

This is AWEsome, TY!

"How can one add this chatbot feature to the website?"

OMG, this reminds me of the ManyChat service for META's Messenger app. I will definitely be playing with this one.

Tim please please more more on AI, LLMs, LangChain, .... free APIs

i was literally watching a 1hr course of Langchain but the video is 11months ago then i saw your video😂

Wow .This is awesome Tim.

Hey Tim Just A Small Request Dude Hope You See This Comment, Can You Make A Cource On Tensorflow?

Please make one dedicated playlist Tim, which will contain RAG, AI agent, vector db-related concepts

Honestly I've been waiting for an intuitive tutorial on RAG and it's really nice that you have posted this video.
Thanks @TechWithTim

Thanks for the knowledge tim😊