https://tube.grossholtz.net/videos/watch/34b65a85-62b7-4b96-95c1-98ff8f5cdd8e #openai #langchain #langchainjs The Memory modules in Langchain make it simple to permanently store conversations in a database, so that we can recall and continue those conversations in the future - just like the conversations in ChatGPT. 📑 Useful Links: Langchain JS Chat Memory Docs: https://js.langchain.com/docs/integrations/chat_memory Source Code: https://github.com/leonvanzyl/langchain-js Upstash: https://upstash.com/?utm_source=Leon_LangchainJS ☕ Buy me a coffee: https://www.buymeacoffee.com/leonvanzyl 💬 Chat with Like-Minded Individuals on Discord: https://discord.gg/VwHZzbNawh 🧠 I can build your chatbots for you! https://www.cognaitiv.ai 🕒 TIMESTAMPS: 00:00 - Introduction to Memory 00:47 - The Problem 01:40 - Project Setup 03:30 - BufferMemory 05:33 - ConversationChain 08:43 - Long Term Memory 08:56 - Adding Upstash Redis Memory 10:50 - Create Upstash Account 12:41 - LCEL RunnableSequence Approach 17:31 - Save Context to Memory Sun, 05 Apr 2026 23:55:49 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://tube.grossholtz.net https://tube.grossholtz.net/client/assets/images/icons/icon-512x512.png https://tube.grossholtz.net/videos/watch/34b65a85-62b7-4b96-95c1-98ff8f5cdd8e All rights reserved, unless otherwise specified in the terms specified at https://tube.grossholtz.net/about and potential licenses granted by each content's rightholder.