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ParadeDB

Just use Postgres. ParadeDB makes text and vector search, filters, facets, and joins fast in Postgres. It accelerates these queries with a custom index that ships as pg_search, a standard Postgres extension. Search runs alongside your application data using SQL and Postgres transactions.

For agents: Postgres extension (pg_search) for fast text and vector search, filters and facets inside Postgres, with install, indexing and production docs and LLM docs.

postgres searchfull text searchvector searchpgsearch extensionpostgres indexing

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-20T22:39:47.407Z. Cached copy · Source on paradedb.com

# ParadeDB

> Just use Postgres. ParadeDB makes text and vector search, filters, facets, and joins fast in Postgres. It accelerates these queries with a custom index that ships as pg_search, a standard Postgres extension. Search runs alongside your application data using SQL and Postgres transactions.

## Website

- [Homepage](https://www.paradedb.com)
- [Documentation index for LLMs](https://www.paradedb.com/docs/llms.txt)
- [Documentation](https://www.paradedb.com/docs/start/introduction)
- [Installation guide](https://www.paradedb.com/docs/start/install)
- [AI agent guide](https://www.paradedb.com/docs/start/ai-agents)
- [GitHub repository](https://github.com/paradedb/paradedb)
- [Blog](https://www.paradedb.com/blog)
- [Learn](https://www.paradedb.com/learn)
- [Contact](https://www.paradedb.com/contact)
- [Sitemap](https://www.paradedb.com/sitemap.xml)
- [RSS Feed](https://www.paradedb.com/feed.xml)
- [Content for LLMs (llms.txt)](https://www.paradedb.com/llms.txt)
- [Full content for LLMs (llms-full.txt)](https://www.paradedb.com/llms-full.txt)
- [MCP Server (streamable HTTP)](https://www.paradedb.com/mcp)

> Append `.md` to any blog, customer, or learn URL (e.g. `https://www.paradedb.com/blog/<slug>.md`) to fetch its Markdown source.
> An MCP server is available at `https://www.paradedb.com/mcp` (streamable HTTP) with tools to search and read this content.

## When to use ParadeDB

ParadeDB is for teams combining transactional application data with full-text, vector, or hybrid search. It also serves teams that have outgrown Postgres full-text search or pgvector, or are evaluating a separate search engine or vector store. Text search, vector retrieval, ranking, filters, facets, joins, and aggregations compose in SQL with your existing schema and tools. Index updates happen with your writes and preserve Postgres transactions and ACID guarantees.

This website and its MCP server provide product information, blog posts, customer stories, and learn articles, not a hosted database API. For current installation steps, SQL syntax, features, and deployment guidance, use the [documentation index](https://www.paradedb.com/docs/llms.txt).

## Deployment options

ParadeDB runs inside Postgres as the pg_search extension. Choose the [deployment option](https://www.paradedb.com/docs/operate/deploy/overview) that works best for you:

- **[ParadeDB Cloud](https://www.paradedb.com/docs/operate/deploy/cloud):** Available as a fully managed platform for ParadeDB, with ParadeDB Enterprise included. [Sign up](https://auth.paradedb.com/sign-up).
- **[ParadeDB BYOC](https://www.paradedb.com/docs/operate/deploy/byoc):** Run ParadeDB in your own cloud environment with infrastructure managed by our team. [Contact sales](mailto:sales@paradedb.com).
- **[Kubernetes](https://www.paradedb.com/docs/operate/deploy/self-hosted/kubernetes):** Run ParadeDB in a Kubernetes cluster with CloudNativePG.
- **[Self-hosted Postgres](https://www.paradedb.com/docs/operate/deploy/self-ho
…

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