LangChain Tutorial : Creating a LLMChain with Memory | Step-by-Step Guide

In this beginner-friendly tutorial series, we break down LangChain from scratch and explain how you can use it to build powerful LLM-based applications. In this tutorial, learn how to create a LangChain LLMChain with memory in this hands-on tutorial! This video builds upon the previous video where we created a simple chain using PromptTemplate and a chat model. Now, we go a step further by introducing ConversationBufferMemory for retaining context across interactions. 📌 In this video, you'll learn: • Recap on creating a simple LLM chain • Why memory is important for contextual conversations • Difference between PromptTemplate and ChatPromptTemplate • Creating a memory object • Building an LLMChain with memory • Invoking the chain and analyzing the results • Enhancing the chain with user input Resources: 🔗 Code Repository: Access the full code for this project here: https://github.com/mohangollapalli/gen_ai.git 🎯 Who Is This Tutorial For? • Developers new to LangChain or LLMs • AI/ML enthusiasts building custom chatbots or AI agents • Anyone exploring the OpenAI API and LLM frameworks Additional Playlists: Don’t forget to check out our other valuable playlists to enhance your AI learning experience: 🔗 LangChain Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfQOx1N9pyHLGm18HMo-saPv 🤖 Agentic AI Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfSzzfwTa_E6Jt76Kq6aVNZQ 💻 Deep Learning with PyTorch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfRMjkzgzOVJZqVhvLk1gj9Q CNN : https://www.youtube.com/playlist?list=PLz6pthWWCdfT7yPUp2mi-UTmTJlBV1nzf ML Models from Scratch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfR5mFMpF39dBuUueQFLZ910 KNN Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfTMLTvWu66dByhn3s_yxf4f K-Means Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfSsegiIPgqkDNviUpg1ue-6 Python for DS : https://www.youtube.com/playlist?list=PLz6pthWWCdfSBz4hOth7sFNmEm0mUh-yN Time Stamps for Easy Navigation: 00:00 - Recap on creating a Simple Chain 00:55 - Why include Memory? 01:37 - ChatPromptTemplate vs PromptTemplate 02:17 - Creating a Prompt 03:46 - Creating a memory object 04:46 - Creating a chain using LLMChain 05:24 - Invoke the llm chain 06:34 - Understanding the results 07:08 - Updating the code to have user_query 09:31 - Results and Conclusion This practical project showcases how various components collaborate to solve intricate challenges, exemplifying the potential of AI in real-world scenarios. Engage with Us! Enjoyed the video? Give it a thumbs up, leave a comment, and hit subscribe to stay updated with the latest tutorials. Your support helps us create more content tailored for aspiring AI engineers and data scientists. Don't miss out—click that notification bell, and embark on your journey to master AI and multiagent systems today! Whether you aim to ace that data science interview or want to embark on your own AI projects, this video will equip you with the knowledge and skills to succeed in the rapidly evolving tech landscape.  @SimplifiedAICourse #Multi-Agent Systems, #AIProjects, #AutoGenTutorial, #BuildAIAgents, #DeepLearning #MachineLearning #AI #AIAgents #LLMs #Ollama #AItools #MachineLearning #RunLLMLocally #OpenSourceAI #LangChain #AI #LLM #OpenAI #Agents #PromptEngineering #Python #GenerativeAI #LangChain #LLMApps #OpenAI #Claude #LLaMA #AIProjects #AIDevelopment #LangChainTutorial #Chain #SequentialChain #PromptTemplate #ChatModels #LangChain #Memory #ChatPromptTemplate