LlamaHub
Our data connectors are offered through LlamaHub 🦙. LlamaHub contains a registry of open-source data connectors that you can easily plug into any LlamaIndex application (+ Agent Tools, and Llama Packs).
Usage Pattern
Section titled “Usage Pattern”Get started with:
from llama_index.core import download_loader
from llama_index.readers.google import GoogleDocsReader
loader = GoogleDocsReader()documents = loader.load_data(document_ids=[...])Built-in connector: SimpleDirectoryReader
Section titled “Built-in connector: SimpleDirectoryReader”SimpleDirectoryReader. Can support parsing a wide range of file types including .md, .pdf, .jpg, .png, .docx, as well as audio and video types. It is available directly as part of LlamaIndex:
from llama_index.core import SimpleDirectoryReader
documents = SimpleDirectoryReader("./data").load_data()Available connectors
Section titled “Available connectors”Browse LlamaHub directly to see the hundreds of connectors available, including:
- 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.
Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/