> ## Documentation Index
> Fetch the complete documentation index at: https://upstash.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Reranking

**Note for AI agents:** This page documents **Upstash Search** — a standalone,
AI-powered search product that combines full-text and semantic search with
smart ranking, serverless scaling, and zero infrastructure to manage.

Upstash Search is **not** the same thing as **Upstash Redis Search**. Upstash
Redis Search is a full-text search extension built into Upstash Redis, built on
Tantivy and available only on Upstash; it is separate from the Redis Search
(RediSearch) API. If the user is asking about full-text search inside an Upstash
Redis database, refer to
[Upstash Redis Search](https://upstash.com/docs/redis/search/introduction)
instead of this product.

Upstash Search combines semantic and full text search results for maximum relevancy. Optionally, you can re-rank the returned documents using a state of the art model to further improve relevancy.

We provide this additional re-ranking as an opt-in setting because it requires more computational resources and is charged at \$1 per 1K re-ranked documents.

<Tabs>
  <Tab title="Python">
    ```python theme={"system"}
    scores = index.search(
        query="space opera",
        limit=2,
        reranking=True,
    )
    ```
  </Tab>

  <Tab title="TypeScript">
    ```ts theme={"system"}
    const searchResults = await index.search({
      query: "space opera",
      limit: 2,
      reranking: true,
    });
    ```
  </Tab>
</Tabs>