---
slug: /get-interfaces-of-api
---

# get - Retrieve

`get()` is used to retrieve documents from a collection without performing vector similarity search.

It supports filtering by IDs, metadata, and documents.

:::info

This interface is only available when using the Client. For more information about the Client, see [Client](../50.client.md).

:::

## Prerequisites

* You have installed pyseekdb. For more information about how to install pyseekdb, see [Get Started](../../10.pyseekdb-sdk/10.pyseekdb-sdk-get-started.md).

* You have connected to the database. For more information about how to connect to the database, see [Client](../50.client.md).

* You have created a collection and inserted data. For more information about how to create a collection and insert data, see [create_collection - Create a collection](../200.collection/100.create-collection-of-api.md) and [add - Insert data](../300.dml/200.add-data-of-api.md).

## Request parameters

```python
get()
```

|Parameter|Type|Required|Description|Example value|
|---|---|---|---|---|
|`ids`|List[float] or List[List[float]] |Yes|The ID or list of IDs to retrieve.|[1.0, 2.0, 3.0]|
|`where`|dict |No|The metadata filter. |`{"category": {"$eq": "AI"}}`|
|`where_document`|dict|No|The document filter. |`{"$contains": "machine"}`|
|`limit`|dict |No|The maximum number of results to return. |`{"category": {"$eq": "AI"}}`|
|`offset`|dict|No|The number of results to skip for pagination. |`{"$contains": "machine"}`|
|`include`|List[str]|No|The list of fields to include: `["documents", "metadatas", "embeddings"]`. |["documents", "metadatas", "embeddings"]|

:::info

If no parameters are provided, all data is returned.

:::

## Request example

```python
import pyseekdb

# Create a client
client = pyseekdb.Client()

collection = client.get_collection("my_collection")

# Get by single ID
results = collection.get(ids="123")

# Get by multiple IDs
results = collection.get(ids=["1", "2", "3"])

# Get by metadata filter
results = collection.get(
    where={"category": {"$eq": "AI"}},
    limit=10
)

# Get by comparison operator
results = collection.get(
    where={"score": {"$gte": 90}},
    limit=10
)

# Get by $in operator
results = collection.get(
    where={"tag": {"$in": ["ml", "python"]}},
    limit=10
)

# Get by logical operators ($or)
results = collection.get(
    where={
        "$or": [
            {"category": {"$eq": "AI"}},
            {"tag": {"$eq": "python"}}
        ]
    },
    limit=10
)

# Get by document content filter
results = collection.get(
    where_document={"$contains": "machine learning"},
    limit=10
)

# Get with combined filters
results = collection.get(
    where={"category": {"$eq": "AI"}},
    where_document={"$contains": "machine"},
    limit=10
)

# Get with pagination
results = collection.get(limit=2, offset=1)

# Get with specific fields
results = collection.get(
    ids=["1", "2"],
    include=["documents", "metadatas", "embeddings"]
)

# Get all data (up to limit)
results = collection.get(limit=100)
```

## Response parameters

* If a single ID is provided: The result contains the get object for that ID.
* If multiple IDs are provided: A list of QueryResult objects, one for each ID.
* If filters are provided: A QueryResult object containing all matching results.

## Related operations

* [Vector query](200.query-interfaces-of-api.md)
* [Hybrid search](400.hybrid-search-of-api.md)
* [Operators](500.filter-operators-of-api.md)