Documents and Nodes
Data structure for storing data in LlamaIndex
Documents and Nodes are the basic building blocks of data in LlamaIndexTS. While the API for these objects is similar, Document objects represent entire files, while Nodes are smaller pieces of that original document, that are suitable for an LLM and Q&A.
import { Document } from "llamaindex";
document = new Document({ text: "text", metadata: { key: "val" } });API Reference
Section titled “API Reference”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/