Langchain js document loader. g. How to: load CSV data How to: load data from a directory How to: load PDF files How to: write a custom document loader How to: load HTML data How to: load Markdown data Text . What Are Document Loaders? Document loaders are tools This project demonstrates the use of LangChain's document loaders to process various types of data, including text files, PDFs, CSVs, and web pages. Document loaders load data into LangChain's expected format for use-cases such as retrieval-augmented generation (RAG). Parsing HTML files often requires specialized tools. txt file, for loading the text contents of any web page, or even for loading a transcript of a YouTube video. The second argument is a map of file extensions to loader factories. A Document is a piece of text and associated metadata. Credentials Installation The LangChain PDFLoader integration lives in the @langchain/community package: It represents a document loader that loads documents from a text file. d. It provides a set of tools and components that enable seamless integration of large language models (LLMs) with other data sources, systems and services. How to write a custom document loader If you want to implement your own Document Loader, you have a few options. If you'd like to write your own document loader, see this how-to. ts:6 Index Sep 15, 2024 · To load an HTML document, the first step is to fetch it from a web source. For detailed documentation of all DirectoryLoader features and configurations head to the API reference. The Document loaders are designed to load document objects. This example goes over how to load data from multiple file paths. This notebook provides a quick overview for getting started with DirectoryLoader document loaders. If you'd like to contribute an integration, see Contributing integrations. 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. Here we demonstrate parsing via Unstructured. It uses the getDocument function from the PDF. js library to load the PDF from the buffer. Interface Documents loaders implement the BaseLoader interface. , FAISS, Pinecone). LangChain has hundreds of integrations with various data sources to load data from: Slack, Notion, Google Drive, etc. The AirtableLoader class provides functionality to load documents fro Jul 23, 2025 · LangChain is an open-source framework designed to simplify the development of advanced language model-based applications. It also integrates with multiple AI models like Google's Gemini and OpenAI for generating insights from the loaded documents. It then iterates over each page of the PDF, retrieves the text content using the getTextContent method, and joins the text items to form the page How to load HTML The HyperText Markup Language or HTML is the standard markup language for documents designed to be displayed in a web browser. LLM Integration: Supplies retrieved content as context. These loaders are used to load web resources. Embeddings: Convert documents to semantic vectors. Hierarchy DocumentLoader Implemented by BaseDocumentLoader Defined in langchain-core/dist/document_loaders/base. Use document loaders to load data from a source as Document 's. You can use the requests library in Python to perform HTTP GET requests to retrieve the web page content. Documentation for LangChain. Vector database: Store vectors for similarity search (e. They Use document loaders to load data from a source as Document 's. Each file will be passed to the matching loader Setup To access PuppeteerWebBaseLoader document loader you’ll need to install the @langchain/community integration package, along with the puppeteer peer dependency. These loaders are used to load files given a filesystem path or a Blob object. They do not involve the local file system. For example, there are document loaders for loading a simple . How to load HTML The HyperText Markup Language or HTML is the standard markup language for documents designed to be displayed in a web browser. Let’s dive in. Head over to the integrations page to find Setup To access PDFLoader document loader you’ll need to install the @langchain/community integration, along with the pdf-parse package. The BaseDocumentLoader class provides a few convenience methods for loading documents from a variety of sources. Credentials If you want to get automated tracing of your model calls you can also set your LangSmith API key by uncommenting below: How to: parse XML output How to: try to fix errors in output parsing Document loaders Document Loaders are responsible for loading documents from a variety of sources. Jul 23, 2025 · Retrieval-Augmented Generation (RAG) Components: Document loaders: Ingest data from HTML, DOC, S3, etc. Document loaders provide a "load" method for loading data as documents from a configured source. jsA method that takes a raw buffer and metadata as parameters and returns a promise that resolves to an array of Document instances. In this article we will learn more about complete LangChain ecosystem. This example goes over how to load data from folders with multiple files. Retriever: Finds relevant docs for a query. This covers how to load HTML documents into a LangChain Document objects that we can use downstream. Integrations You can find available integrations on the Document loaders integrations page. The load() method is implemented to read the text from the file or blob, parse it using the parse() method, and create a Document instance for each parsed page. Subclassing BaseDocumentLoader You can extend the BaseDocumentLoader class directly. hbprg kneg ofsncj ldktg tkzi ahwst oapnco iplftot bghlu uscpix