https://tube.grossholtz.net/videos/watch/e7ef4597-00b1-4de5-a170-bb4bf5390b73 #openai #langchain #langchainjs Retrieval chains allow us to connect our AI-application to external data sources to improve question answering. This is one of the most important skills to have as an AI developer, and in this video we will break down the process step-by-step. We will cover Document Loaders, Text Splitters, Embeddings, Vector Stores and Retrieval using the retrievalChain. ☕ Buy me a coffee: https://www.buymeacoffee.com/leonvanzyl 📑 Useful Links: Langchain JS docs: https://js.langchain.com/docs/get_started/introduction Langchain LCEL: https://js.langchain.com/docs/expression_language Source Code: https://github.com/leonvanzyl/langchain-js OpenAI: https://platform.openai.com 💬 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 - Intro to Retrieval Chains 00:50 - Project setup 02:44 - Project Explanation 04:35 - Adding Prompt Context 05:32 - Langchain Documents 06:47 - createStuffDocumentsChain 09:11 - Document Loaders 12:07 - Text Splitters 15:04 - Intro to Vector Stores 16:13 - Embeddings 16:38 - Create Vector Store 18:16 - Retrieval 19:17 - RetrievalChain 21:18 - Congrats Mon, 06 Apr 2026 03:16:48 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/e7ef4597-00b1-4de5-a170-bb4bf5390b73 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.