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



In this video, I’m going to show you how to create your own AI application that uses RAG (Retrieval Augmented Generation) without writing a single line of code – in just a couple of minutes, using Langflow.

If you want to land a developer job: https://techwithtim.net/dev

Video Resources
Langflow Docs/Install: https://docs.langflow.org/
Langflow Github: https://dtsx.io/3vR07qO
Build now with Astra DB: https://dtsx.io/3vZk6n2
OpenAI API Key: https://platform.openai.com/api-keys
Code/Flow File: https://github.com/techwithtim/Langflow-RAG-Tutorial

Timestamps
00:00 | Overview
00:33 | Project Demo
02:14 | Setup/Installation
04:07 | Building a Basic Chatbot
09:27 | OpenAI Integration
12:33 | VectorStore Databases
15:00 | Adding RAG
21:35 | Testing The App
23:02 | Additional Features

Hashtags
#techwithtim
#nocodedevelopment
#llm
#RAG

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