---
slug: python-reference/Passage
---

<a id="letta.schemas.passage.Passage"></a>

## Passage

```python
class Passage(PassageBase)
```

Representation of a passage, which is stored in archival memory.

**Arguments**:

- `text` _str_ - The text of the passage.
- `embedding` _List[float]_ - The embedding of the passage.
- `embedding_config` _EmbeddingConfig_ - The embedding configuration used by the passage.
- `created_at` _datetime_ - The creation date of the passage.
- `user_id` _str_ - The unique identifier of the user associated with the passage.
- `agent_id` _str_ - The unique identifier of the agent associated with the passage.
- `source_id` _str_ - The data source of the passage.
- `doc_id` _str_ - The unique identifier of the document associated with the passage.

<a id="letta.schemas.passage.Passage.pad_embeddings"></a>

#### pad\_embeddings

```python
@field_validator("embedding")
@classmethod
def pad_embeddings(cls, embedding: List[float]) -> List[float]
```

Pad embeddings to `MAX_EMBEDDING_SIZE`. This is necessary to ensure all stored embeddings are the same size.
