Langchain loader. Each file will be passed to the matching loader .
- Langchain loader. Interface Documents loaders implement the BaseLoader interface. How to write a custom document loader If you want to implement your own Document Loader, you have a few options. For detailed documentation of all DirectoryLoader features and configurations head to the API reference. The second argument is a map of file extensions to loader factories. Let’s dive in. g. Jul 15, 2024 · LangChain Document Loaders convert data from various formats (e. They do not involve the local file system. The Repository can be local on disk available at repo_path, or remote at clone_url that will be cloned to repo_path. These loaders are used to load web resources. They may include links to other pages or resources. Learn how they revolutionize language model applications and how you can leverage them in your projects. Learn how to load documents from various sources using LangChain Document Loaders. It has the largest catalog of ELT connectors to data warehouses and databases. 📄️ Airbyte CDK (Deprecated) Note: AirbyteCDKLoader is deprecated How to load JSON JSON (JavaScript Object Notation) is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and arrays (or other serializable values). JSON Lines is a file format where each line is a valid JSON value. Subclassing BaseDocumentLoader You can extend the BaseDocumentLoader class directly. Each file will be passed to the matching loader . document_loaders. Document loaders DocumentLoaders load data into the standard LangChain Document format. git. js. An example use case is as follows: How to: use legacy LangChain Agents (AgentExecutor) How to: migrate from legacy LangChain agents to LangGraph Callbacks Callbacks allow you to hook into the various stages of your LLM application's execution. This example goes over how to load data from folders with multiple files. GitLoader # class langchain_community. In LangChain, this usually involves creating Document objects, which encapsulate the extracted text (page_content) along with metadata—a dictionary containing details about the document, such as Document loaders are designed to load document objects. GitLoader(repo_path: str, clone_url: str | None = None, branch: str | None = 'main', file_filter: Callable[[str], bool] | None = None) [source] # Load Git repository files. 📄️ AirbyteLoader Airbyte is a data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes. Currently, supports only text files. What Are Document Loaders? Document loaders are tools that This project demonstrates the use of LangChain's document loaders to process various types of data, including text files, PDFs, CSVs, and web pages. , CSV, PDF, HTML) into standardized Document objects for LLM applications. LangChain implements a JSONLoader to convert JSON and JSONL data into This notebook provides a quick overview for getting started with DirectoryLoader document loaders. Web pages contain text, images, and other multimedia elements, and are typically represented with HTML. For detailed documentation of all JSONLoader features and configurations head to the API reference. File Loaders Compatibility Only available on Node. Jun 2, 2025 · In this guide, we’ll explore what document loaders are, how they work, and how to use them in real-world projects. It also integrates with multiple AI models like Google's Gemini and OpenAI for generating insights from the loaded documents. Jun 29, 2023 · Dive into the world of LangChain Document Loaders. Document loaders 📄️ acreom acreom is a dev-first knowledge base with tasks running on local markdown files. How to create a custom Document Loader Overview Applications based on LLMs frequently entail extracting data from databases or files, like PDFs, and converting it into a format that LLMs can utilize. Each This guide covers how to load web pages into the LangChain Document format that we use downstream. See examples of loading PDF, web pages, CSV, HTML, JSON, Markdown, and Microsoft Office files. How to: pass in callbacks at runtime How to: attach callbacks to a module How to: pass callbacks into a module constructor How to: create custom callback handlers How to: use callbacks in Document loaders are designed to load document objects. LangChain has hundreds of integrations with various data sources to load data from: Slack, Notion, Google Drive, etc. load method. They facilitate the seamless integration and processing of diverse data sources, such as YouTube, Wikipedia, and GitHub, into Document objects. Integrations You can find available integrations on the Document loaders integrations page. Jun 10, 2023 · We'll explore their role, examine the variety of loaders available within the LangChain framework, and walk you through the steps of incorporating them into your own code. This notebook provides a quick overview for getting started with JSON document loader. Each DocumentLoader has its own specific parameters, but they can all be invoked in the same way with the . Document loaders load data into LangChain's expected format for use-cases such as retrieval-augmented generation (RAG). These loaders are used to load files given a filesystem path or a Blob object. The BaseDocumentLoader class provides a few convenience methods for loading documents from a variety of sources. syeaiz rryxf ficm vfdp hwrj xfikfem owc twzzq xwv diifor