LangChain

LangChain is an open-source framework designed to simplify the development of applications powered by large language models (LLMs). It provides modular components and abstractions for tasks like prompt management, data retrieval, and agent orchestration, enabling developers to build complex LLM-driven systems efficiently. The framework supports integration with various LLM providers, data sources, and tools to create robust AI applications.

Also known as: Langchain, LangChain Framework, LC, LangChain AI, LangChain Library

🧊Why learn LangChain?

Developers should learn LangChain when building applications that require advanced LLM capabilities beyond simple API calls, such as chatbots, question-answering systems, or automated workflows. It is particularly useful for scenarios involving retrieval-augmented generation (RAG), where external data sources enhance LLM responses, or for creating multi-step agentic systems that interact with tools and databases. LangChain streamlines development by handling common complexities like context management and tool integration.

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LangChain vs Llamaindex→LangChain vs Haystack→LangChain vs Autogen→

Learning Resources

LangChain Documentation

LangChain Crash Course for Beginners

LangChain Tutorial - Build a Custom ChatGPT

LangChain Fundamentals on DeepLearning.AI

Related Tools

Large Language Models Retrieval Augmented Generation Prompt Engineering Vector Databases Ai Agents

Alternatives to LangChain

Llamaindex Haystack Autogen

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