Build Your First AI App: LangChain Document Q&A Step-by-Step (Part 1)
Автор: AI Academy
Загружено: 2026-01-12
Просмотров: 56
Ready to build something real? In video 2 of our LangChain series, we move from theory to practice and build a complete, AI-powered Document Q&A system from scratch.
In this hands-on tutorial, we implement the kind of application companies are paying thousands of dollars for—a system that can read, understand, and answer questions about any PDF document you upload.
What you will learn in this video:
The 6 Core Building Blocks in Action: See how LLMs, Prompts, Chains, Memory, Retrievers, and Tools work together in a single application.
The Complete RAG Pipeline: We walk through the entire Retrieval-Augmented Generation process, including loading documents, splitting text, creating embeddings, and vector storage.
Semantic Search & Generation: Learn how to perform similarity searches and generate accurate, context-aware answers based on document content.
Step-by-Step Implementation: Follow along as we build the architecture for a production-ready AI Document Assistant.
By the end of this video, you'll have a fully functional application and a deep understanding of concepts that apply to thousands of different AI use cases.
#LangChain #AIApp #RAG #VectorDatabase #Python #LLM #GenerativeAI #PDFChatbot #AITutorial #MachineLearning.
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