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

# Retrieve Documents

> Semantic search over the workspace document library.

Semantic search over the workspace document library. Display name **"Retrieve Documents"**. On by default for new agents.

Each hit includes a `file_url` you can pass straight to `structured_data_extraction`.

## Authentication and enablement

No extra integration. Searches documents already ingested for the workspace. Default-on.

## Inputs

* `query` (required): question, topic, or description. Max 10,000 characters.
* `limit` (optional): 1–20, default 5.

## Output

Matching documents with text, metadata, extracted data, and `file_url`.

## Limits and side effects

* Vector similarity only — not keyword SQL and not live web search (`web_search`).
* Read-only against the library.

## Expected errors

* Empty or oversized `query`.
* Embedding / search backend failure.