Mar 18
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LangChain explained from scratch — what it is, its 6 core components, and how they work together to build powerful AI applications with LLMs. In this 8-minute animated guide, you'll learn every LangChain building block with visual examples and a real-world practical case. ⏱️ TIMESTAMPS 0:00 — Introduction: What is LangChain? 0:17 - Why LLMs Need Help? 1:03 - LangChain Comes to Rescue LLMs 1:39 - Components of LangChain 2:18 — Component 1: Models in LangChain (LLMs, Chat Models, Embeddings) 2:53 — Component 2: Prompts & Prompt Templates in LangChain 3:27 — Component 3: Memory in LangChain (With vs Without Memory) 4:03 — Component 4: Indexes & Vector Stores in LangChain 4:39 — Component 5: Chains in LangChain (Sequential LLM Calls) 5:16 — Component 6: Agents & Tools in LangChain 5:40 — Practical Case: Public Holidays Chatbot - How LangChain Components Work Together? 6:43 — Why LangChain is Important for LLMs and Makes it Practical? 7:16 — Summary & Wrap-up: What is LangChain? 🔑 WHAT YOU'LL LEARN ✅ What LangChain is and why it matters for AI development ✅ Models — LLMs, Chat Models, and Text Embedding Models ✅ Prompts — templates with dynamic variables ✅ Memory — how to make LLM conversations context-aware ✅ Indexes — vector stores for giving LLMs custom knowledge (RAG) ✅ Chains — sequencing multiple LLM calls for complex tasks ✅ Agents & Tools — autonomous AI that uses search, APIs, and databases ✅ Real practical case: building a Holiday Chatbot with all components LangChain is the most popular framework for building LLM-powered applications. Whether you're creating chatbots, RAG pipelines, AI agents, or any application that uses large language models — LangChain provides the building blocks to connect everything together. This video gives you the complete foundation with visual examples. 📌 RESOURCES - LangChain Docs: https://python.langchain.com/docs/ - LangChain GitHub: https://github.com/langchain-ai/langchain - LangSmith (Observability): https://smith.langchain.com/ 🔔 Subscribe to @LearnwithManoj for more AI, LangChain, LLM, and software engineering content every week! #LangChain #AI #LLM #AIAgents #Python #RAG #GenerativeAI #ChatGPT #MachineLearning #AIApps #LangChainTutorial