{"id":18798587,"url":"https://github.com/liteobject/langchain-basics","last_synced_at":"2025-08-01T06:33:55.840Z","repository":{"id":242002746,"uuid":"748483574","full_name":"LiteObject/langchain-basics","owner":"LiteObject","description":null,"archived":false,"fork":false,"pushed_at":"2024-07-05T03:30:58.000Z","size":678,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-29T18:21:19.094Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LiteObject.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-01-26T04:08:46.000Z","updated_at":"2024-07-05T03:31:01.000Z","dependencies_parsed_at":"2024-05-31T04:38:55.676Z","dependency_job_id":"3fef5072-6084-489a-984e-84a78ba9e57c","html_url":"https://github.com/LiteObject/langchain-basics","commit_stats":null,"previous_names":["liteobject/langchain-basics"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiteObject%2Flangchain-basics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiteObject%2Flangchain-basics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiteObject%2Flangchain-basics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiteObject%2Flangchain-basics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LiteObject","download_url":"https://codeload.github.com/LiteObject/langchain-basics/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239727055,"owners_count":19687099,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-07T22:12:25.774Z","updated_at":"2025-08-01T06:33:55.822Z","avatar_url":"https://github.com/LiteObject.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LangChain: Building Powerful Applications with Large Language Models (LLMs) 🦜️🔗\n\nLangChain is an open-source framework designed to simplify the creation of applications powered by Large Language Models (LLMs). It provides a robust set of tools, components, and interfaces that allow developers to seamlessly integrate LLMs with other computational resources and knowledge sources. This enables the development of sophisticated, context-aware applications that go beyond the capabilities of standalone LLMs.\n\n## Key Features and Components\n\nLangChain's ecosystem is built around several core components:\n\n-   **LangChain Libraries (Python \u0026 JavaScript):**\n    -   **Interfaces and Integrations:** A vast collection of pre-built integrations with various LLMs, vector databases, document loaders, and other tools.\n    -   **Chains and Agents:** A flexible runtime for composing LLM-powered workflows (chains) and autonomous agents that can interact with the environment.\n    -   **Off-the-Shelf Implementations:** Ready-to-use chains and agents for common tasks, accelerating development.\n\n-   **LangChain Templates (Python):**\n    -   **Reference Architectures:** A curated collection of deployable application blueprints for a wide range of use cases, providing a solid foundation for your projects.\n\n-   **LangServe (Python):**\n    -   **API Deployment:** A streamlined solution for deploying LangChain chains as RESTful APIs, making it easy to integrate your LLM applications into other systems.\n\n-   **LangSmith:**\n    -   **Development Platform:** A comprehensive platform for debugging, testing, evaluating, and monitoring LLM applications built with any framework.\n    -   **Seamless LangChain Integration:** Deep integration with LangChain for enhanced observability and control.\n\n-   **LangGraph:**\n    - **Stateful Multi-Actor Applications:** Build complex applications with multiple actors and state management.\n    - **Graph-Based Architecture:** Model steps as nodes and edges in a graph, enabling robust and flexible workflows.\n\n## LangChain Architecture: A Layered Approach\n\nLangChain's architecture is designed for modularity and extensibility. It can be visualized as a stack:\n\n![LangChain Stack](./res/langchain_stack_dark.svg)\n\n-   **langchain-core:**\n    -   **Foundation:** Provides the fundamental abstractions and the LangChain Expression Language (LCEL).\n    -   **LCEL:** A declarative language for composing chains, enabling efficient and expressive workflow definitions.\n\n-   **langchain-community:**\n    -   **Integrations Hub:** A growing collection of third-party integrations, expanding the capabilities of LangChain.\n\n-   **langchain:**\n    -   **Application Logic:** Contains the core building blocks for creating LLM applications, including chains, agents, and retrieval strategies.\n\n- **langgraph:**\n    - **Graph-Based Workflows:** Build robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph.\n\n-   **langserve:**\n    -   **Deployment:** Enables the deployment of LangChain chains as REST APIs.\n\n-   **LangSmith:**\n    -   **Observability:** A developer platform for debugging, testing, evaluating, and monitoring LLM applications.\n\n## LangChain Expression Language (LCEL)\n\n[LCEL](https://js.langchain.com/v0.1/docs/get_started/introduction/#langchain-expression-language-lcel) is a powerful declarative way to compose chains. It allows you to define complex workflows in a concise and readable manner.\n\n## Getting Started\n\nReady to start building with LangChain? Here are some helpful resources:\n\n-   **LangChain Introduction:** [https://python.langchain.com/docs/get_started/introduction](https://python.langchain.com/docs/get_started/introduction)\n-   **LangChain Python Documentation:** [https://python.langchain.com/docs/](https://python.langchain.com/docs/)\n-   **LangChain JavaScript Documentation:** [https://js.langchain.com/docs/](https://js.langchain.com/docs/)\n-   **GitHub: langchain-ai/langchain:** [https://github.com/langchain-ai/langchain](https://github.com/langchain-ai/langchain)\n-   **GitHub: langchain-ai/rag-from-scratch:** [https://github.com/langchain-ai/rag-from-scratch](https://github.com/langchain-ai/rag-from-scratch)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fliteobject%2Flangchain-basics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fliteobject%2Flangchain-basics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fliteobject%2Flangchain-basics/lists"}