Index
An index is the basic container for organizing your data. Besides managed indexes using LlamaCloud, LlamaIndex.TS supports three indexes:
VectorStoreIndex- will send the top-kNodes to the LLM when generating a response. The default top-k is 2.SummaryIndex- will send everyNodein the index to the LLM in order to generate a responseKeywordTableIndexextracts and provides keywords fromNodes to the LLM
import { Document, VectorStoreIndex } from "llamaindex";
const document = new Document({ text: "test" });
const index = await VectorStoreIndex.fromDocuments([document]);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/