🔌 Data Connectors (LlamaHub)

Our data connectors are offered through LlamaHub 🦙. LlamaHub is an open-source repository containing data loaders that you can easily plug and play into any LlamaIndex application.

Some sample data connectors:

  • local file directory (SimpleDirectoryReader). Can support parsing a wide range of file types: .pdf, .jpg, .png, .docx, etc.

  • Notion (NotionPageReader)

  • Google Docs (GoogleDocsReader)

  • Slack (SlackReader)

  • Discord (DiscordReader)

  • Apify Actors (ApifyActor). Can crawl the web, scrape webpages, extract text content, download files including .pdf, .jpg, .png, .docx, etc.

Each data loader contains a “Usage” section showing how that loader can be used. At the core of using each loader is a download_loader function, which downloads the loader file into a module that you can use within your application.

Example usage:

from llama_index import GPTVectorStoreIndex, download_loader

GoogleDocsReader = download_loader('GoogleDocsReader')

gdoc_ids = ['1wf-y2pd9C878Oh-FmLH7Q_BQkljdm6TQal-c1pUfrec']
loader = GoogleDocsReader()
documents = loader.load_data(document_ids=gdoc_ids)
index = GPTVectorStoreIndex.from_documents(documents)
query_engine = index.as_query_engine()
query_engine.query('Where did the author go to school?')

Examples