Index Stores
Index stores are underlying storage components that contain metadata(i.e. information created when indexing) about the index itself.
Available Index Stores
Section titled “Available Index Stores”- SimpleIndexStore: A simple in-memory index store with support for persisting data to disk.
- PostgresIndexStore: A PostgreSQL index store, , see PostgreSQL Storage.
Check the LlamaIndexTS Github for the most up to date overview of integrations.
Using PostgreSQL as Index Store
Section titled “Using PostgreSQL as Index Store”npm i llamaindex @llamaindex/postgresYou can configure the schemaName, tableName, namespace, and
connectionString. If a connectionString is not
provided, it will use the environment variables PGHOST, PGUSER,
PGPASSWORD, PGDATABASE and PGPORT.
import { Document, VectorStoreIndex, storageContextFromDefaults } from "llamaindex";import { PostgresIndexStore } from "@llamaindex/postgres";
const storageContext = await storageContextFromDefaults({ indexStore: new PostgresIndexStore(),});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/for-agents/mcp/
- Other LlamaIndex tooling for agents — the LlamaParse Platform MCP server, agent skills and plugins, and the n8n node — is mapped at https://developers.llamaindex.ai/for-agents/