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Welcome to our step-by-step tutorial on building a Q&A app using Retrieval-Augmented Generation (RAG) with Gemini Pro and LangChain! GitHub: https://github.com/AarohiSingla/Generative_AI/tree/main/L-8/gemini_rag_demo For any inquiries or further assistance, feel free to contact me at: [email protected] In this video, we will guide you through the process of creating a powerful and intelligent Q&A application from scratch. With the combination of Gemini Pro's cutting-edge AI capabilities and LangChain's versatile framework, you'll learn how to integrate advanced retrieval techniques to enhance your chatbot's performance. What you'll learn: The basics of Retrieval-Augmented Generation (RAG) Setting up the Gemini Pro environment Integrating LangChain with your application Building and deploying a Q&A app Don't forget to like, comment, and subscribe for more tutorials and updates!
Welcome to our Generative AI playlist! This curated collection of videos explores the exciting and rapidly evolving field of Generative Artificial Intelligence. Throughout this playlist, you'll find comprehensive guides on various large language models (LLMs), including their capabilities, applications, and how to utilize them effectively. We'll also dive deep into LangChain, a powerful tool for building generative AI applications. Whether you're a beginner looking to understand the basics or an experienced developer seeking advanced insights, this playlist has something for everyone. Join us as we uncover the potential of Generative AI and learn how to leverage it for innovative solutions!