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Index Stores

Index stores are underlying storage components that contain metadata(i.e. information created when indexing) about the index itself.

Check the LlamaIndexTS Github for the most up to date overview of integrations.

npm i llamaindex @llamaindex/postgres

You 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(),
});
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/