Langflow Tutorial: How to create RAG AI agent (NO CODING) with New Changes

Dive into the world of AI with Langflow! This in-depth tutorial from Coders Academy shows you exactly how to create a powerful RAG (Retrieval Augmented Generation) AI agent without writing a single line of code. Learn to build an intuitive financial report analyzer application that answers questions via a chat interface. Langflow is a powerful low-code platform that offers an intuitive visual interface, making AI accessible and easy to use for everyone, especially beginners. In this video, you will learn: - How to set up your ChromaDB instance and verify its operation - Getting Langflow up and running and navigating its UI - Step-by-step process to create an AI agent that analyzes documents - Configuring components like File Input, Split Text, ChromaDB (as vector database), Embedding Models (using Google Gemini), Chat Input, Prompt, and Agent - Connecting components using Langflow's visual interface. - Testing your no-code RAG AI agent with real questions from a financial document Sample file used in this demo - https://github.com/toashishagarwal/Langflow/tree/main/testfiles Check the Part 1 of this video FIRST - https://youtu.be/JZvXke26Ues Follow me- http://instagram.com/codersAcademyAI Chapters 0:01 What is Langflow 1:01 How to start ChromaDB & Langflow 1:54 How to set global variables in Langflow - Gemini API KEY 3:20 Demo: How to create AI agent using Langflow- Finance Report analyzer agent 11:32 Showcase 12:55 Conclusion #Python #MachineLearning #AI #GenerativeAI #DeepLearning #DataScience #langflow #aiagents