> For the complete documentation index, see [llms.txt](https://docs.interactive.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.interactive.ai/cli/iai_collections_search.md).

# iai collections search

Search a collection (single-lane vector search)

## Synopsis

Run a single-lane search: --query (text, embedded server-side) or --vector (comma-separated floats). --exact runs an exhaustive scan instead of the index.

Sub-commands cover the other modes: batch, by-id, hybrid. A collection named after a sub-command (batch, by-id, hybrid) can't be searched via this command (the sub-command wins); rename it or query it through the API.

```
iai collections search <collection> [flags]
```

## Examples

```
  iai collections search docs -d my-db --query "reset my password"
  iai collections search docs -d my-db --query "..." --exact --limit 5
```

## Options

```
  -d, --database string       Database that holds the collection (required)
      --exact                 Exhaustive scan instead of the index
      --filter string         Metadata filter as a JSON object
  -h, --help                  help for search
      --json                  Output raw API response as JSON
      --limit int             Max results
  -o, --organization string   Organization name
  -p, --project string        Project name
      --query string          Query text (embedded server-side)
      --using string          Vector slot to search (omit for the server default, "default")
      --vector string         Query vector as comma-separated floats
      --yaml                  Output raw API response as YAML
```

## Options inherited from parent commands

```
      --api-key string               API key for authentication
      --cfg-file string              Path to YAML config file with organization, project, and optional service definitions
      --deployment-hostname string   Hostname for the deployment API (default "https://deployment.interactive.ai")
      --hostname string              Hostname for the API (default "https://app.interactive.ai")
```

## SEE ALSO

* [iai collections](/cli/iai_collections.md) - Knowledge bases (searchable tables of chunks) inside a pgvector database
* [iai collections search batch](/cli/iai_collections_search_batch.md) - Run several searches in one request (from a file)
* [iai collections search by-id](/cli/iai_collections_search_by-id.md) - Find neighbors of an existing chunk by its stored vector
* [iai collections search hybrid](/cli/iai_collections_search_hybrid.md) - Run a multi-lane hybrid search (RRF) from a file


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.interactive.ai/cli/iai_collections_search.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
