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Build a RAG-Based LLM App in 20 Minutes - Langflow Tutorial

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Overview

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Learn how to create an AI application using RAG (Retrieval Augmented Generation) without coding in just minutes with Langflow. Follow along as the tutorial guides you through setting up a basic chatbot, integrating OpenAI, implementing VectorStore databases, and adding RAG functionality. Explore the project demo, installation process, and testing procedures. Discover additional features to enhance your AI application. Access provided resources including Langflow documentation, GitHub repository, and OpenAI API key setup for a comprehensive learning experience.

Syllabus

| Overview
| Project Demo
| Setup/Installation
| Building a Basic Chatbot
| OpenAI Integration
| VectorStore Databases
| Adding RAG
| Testing The App
| Additional Features

Taught by

Tech With Tim

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