Build a Powerful PDF Q&A RAG System with Langflow, OpenAI & Chroma DB! (No Code/Low Code Tutorial)

Welcome to Generative Geek! In this video, I'll walk you through how to build a powerful PDF-based Question and Answer (Q&A) RAG (Retrieval Augmented Generation) system using Langflow, OpenAI, and Chroma DB, all without writing any advanced code. Langflow offers a no-code/low-code solution that simplifies the process of creating complex LangChain-based LLM applications with an intuitive drag-and-drop interface. What You'll Learn: - Introduction to Langflow: Discover the capabilities of this no-code platform. - Setting Up Your Environment: Quick guide to get you started with Langflow, OpenAI, and Chroma DB. - Building the PDF Q&A RAG System: Step-by-step tutorial on how to use Langflow to create a robust Q&A RAG system. - Integrating OpenAI: Learn how to harness the power of OpenAI for intelligent Q&A. - Using Chroma DB: Understand how to leverage Chroma DB for efficient data management. Chapters: (00:00) Introduction (02:20) Installing Langflow (05:15) Error fix (06:50) Quick UI walkthrough of Langflow (08:46) File reader Component (09:07) Text Splitter Component (09:45) Connecting two components (10:15) Chroma Vector Store component (11:15) OpenAI Embeddings Component (11:40) Creating a Global Variable in Langflow (13:50) Adding various input components (15:00) Building the Prompt Template (17:00) Adding memory to Chatbot (19:30) Adding Chroma Vector Search (22:50) Adding OpenAI Component (24:50) Playground and Debug Why Watch This Video? - No Code/Low Code: Perfect for beginners and non-programmers. - Comprehensive Tutorial: Detailed instructions to guide you through each step. - Quick Learning: Build your RAG application in less than 20 minutes! Useful Links: - Langflow Github - https://github.com/langflow-ai/langflow - OpenAI API Key - https://platform.openai.com Follow Me: - LinkedIn: https://linkedin.com/in/vaibhavpandey If you found this video helpful, don't forget to like, share, and subscribe for more tutorials on generative AI, Python, and cutting-edge technology! Leave your comments below and let me know what you think or what you'd like to see next. More from Generative Geek: Experiments with LLM Apps - https://youtube.com/playlist?list=PLhl5xN5sjiK1zw7s7e2bmw09L2J2GECX2&si=fzsjoyJTVium500B Building RAG Applications - https://youtube.com/playlist?list=PLhl5xN5sjiK1EwEe4o3clmSDRTWyT2UaM&si=MvvnD1hr8TW-AsO5 Learn OpenAI Embeddings - https://youtube.com/playlist?list=PLhl5xN5sjiK1aE5trMPFJB7WUxDiAD_yh&si=FyqepBqOobpyFSH6 Get Started with ChromaDB - https://youtube.com/playlist?list=PLhl5xN5sjiK2uqnLuHXdnWU8rs9ST7tIL&si=hh5Q_UEofjLdxYwN Pandas Basics to Pro - https://youtube.com/playlist?list=PLhl5xN5sjiK3zEGnUl7J3BCTvayKl9WSt&si=y1HRe1DWjisJp6Aq Python and AI - https://youtube.com/playlist?list=PLhl5xN5sjiK3l7mIcfelQ1Qv7lEOYbE5R&si=BF6AKWhHEqHknQaL