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

# Infino: open-source retrieval engine for AI apps

> Infino is an open-source retrieval engine for full-text, vector, and SQL search, with your data stored as Apache Parquet on object storage.

You add Infino to your application as a library and query your data where it already
lives, on local disk or object storage like S3. Start with the quickstart, or see how
it works under the hood.

<CardGroup cols={2}>
  <Card title="Quickstart" icon="bolt" href="/docs/quickstart">
    Index a few documents and run keyword, vector, and SQL retrieval in Python,
    Node.js, or Rust.
  </Card>

  <Card title="Core concepts" icon="diagram-project" href="/docs/core-concepts">
    The mental model: one Parquet copy, indexed and queried four ways.
  </Card>

  <Card title="Object-storage-native retrieval" icon="cloud" href="/docs/core-concepts#object-storage-native-retrieval">
    Search directly on Parquet on S3, Azure, or local disk.
  </Card>

  <Card title="Guides" icon="book" href="/docs/guides/tables">
    How-tos for tables, embeddings, indexing, search, and storage.
  </Card>
</CardGroup>

## Get help

Questions or run into something? Open an issue on [GitHub](https://github.com/infino-ai/infino/issues).