How LangChain Works to Create AI Agents | Explained Simply #LangChain #aiagent #aiframework

Discover how LangChain empowers AI agents to think, plan, and act autonomously.​ In this concise 60-second explainer, we'll delve into:​ How LangChain integrates Large Language Models (LLMs) like GPT with tools, memory, and logic The step-by-step process an AI agent follows to handle user queries The role of external APIs, document retrieval, and memory in generating intelligent responses​ LangChain is an open-source framework that transforms static LLMs into dynamic agents capable of reasoning and interacting with various data sources and tools. Whether you're a developer, researcher, or AI enthusiast, understanding LangChain's architecture is crucial for leveraging its full potential.​ Resources: LangChain Documentation: https://python.langchain.com/docs/tutorials/agents/ What is an AI Agent? - LangChain Blog: https://blog.langchain.dev/what-is-an-agent/​ LangChain Blog If you found this explanation helpful, please like, share, and subscribe for more insights into AI frameworks and technologies!