implement persistent message storage with redis using Langchain | Tutorial:112

@LangChain
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**Welcome back to Total Technology Zone! In today's tutorial, we’re diving deep into the world of persistent message storage using Redis and LangChain. This is the 112th video in our comprehensive series on LangChain, where we focus on advanced AI and technology topics to help you level up your skills.**

**In our last tutorial, we explored how to store chat history in an in-memory format using LangChain. While this was a great introduction to handling data within a session, the storage was volatile—meaning all the data would be lost once the session ended or the application was closed. For real-world applications, especially those requiring consistency and data retrieval across sessions, this approach falls short.**

**That’s where Redis comes in. Redis is a powerful, open-source, in-memory data structure store that offers persistence and speed, making it ideal for storing session data, caching, and more. It’s widely used by startups, small businesses, and even large enterprises due to its flexibility and performance.**

**In this tutorial, I’ll guide you step-by-step through the process of setting up Redis on your system, starting the Redis server, and connecting it with LangChain to store your chat history persistently. We’ll cover everything you need to know to get started—from installation to command-line interaction with Redis, to finally integrating it seamlessly with your AI-driven applications using LangChain.**

**This session is designed to give you hands-on experience with Redis, showing you how to store and retrieve chat history across multiple sessions. By the end of this tutorial, you’ll have a clear understanding of how to manage persistent data storage for your AI applications, ensuring that your data remains intact even after closing your application.**

**For those new to the channel, welcome! I encourage you to explore our extensive playlist on LangChain and LlamaIndex. With over 100 videos on LangChain alone, you’ll find a wealth of knowledge that caters to both beginners and advanced users. Whether you're looking to enhance your skills in AI, machine learning, or data management, this channel is your go-to resource.**

**If you find this content valuable, please don’t forget to hit the like button, share the video with your friends and colleagues, and subscribe to the channel. Your support is crucial in helping us grow and continue delivering quality content. With your help, we can reach a wider audience and build a community of learners and tech enthusiasts.**

**Thank you for watching, and I hope this tutorial adds value to your learning journey. Stay tuned for the next video, where we’ll continue our exploration of Redis and LangChain, taking our AI-powered applications to the next level. Until then, happy coding, and see you in the next tutorial!**

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