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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-k Nodes to the LLM when generating a response. The default top-k is 2.
  • SummaryIndex - will send every Node in the index to the LLM in order to generate a response
  • KeywordTableIndex extracts and provides keywords from Nodes to the LLM
import { Document, VectorStoreIndex } from "llamaindex";
const document = new Document({ text: "test" });
const index = await VectorStoreIndex.fromDocuments([document]);
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/