LangChain Tutorial (JS) #4: Chatting with Documents using Retrieval Chains скачать в хорошем качестве

LangChain Tutorial (JS) #4: Chatting with Documents using Retrieval Chains

#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_sta... Langchain LCEL: https://js.langchain.com/docs/express... Source Code: https://github.com/leonvanzyl/langcha... OpenAI: https://platform.openai.com 💬 Chat with Like-Minded Individuals on Discord:   / discord   🧠 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