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

Offered By: Tech with Tim via YouTube

Tags

Retrieval Augmented Generation (RAG) Courses Chatbot Courses LLM (Large Language Model) Courses Vector Databases Courses No-Code Development Courses OpenAI Courses Retrieval Augmented Generation Courses

Course Description

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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