> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc-agui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Ollama Embedder

The `OllamaEmbedder` can be used to embed text data into vectors locally using Ollama.

<Note>The model used for generating embeddings needs to run locally. In this case it is `openhermes` so you have to [install `ollama`](https://ollama.com/download) and run `ollama pull openhermes` in your terminal.</Note>

## Usage

```python ollama_embedder.py theme={null}
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector
from agno.knowledge.embedder.ollama import OllamaEmbedder

# Embed sentence in database
embeddings = OllamaEmbedder(id="openhermes").get_embedding("The quick brown fox jumps over the lazy dog.")

# Print the embeddings and their dimensions
print(f"Embeddings: {embeddings[:5]}")
print(f"Dimensions: {len(embeddings)}")

# Use an embedder in a knowledge base
knowledge = Knowledge(
    vector_db=PgVector(
        db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
        table_name="ollama_embeddings",
        embedder=OllamaEmbedder(),
    ),
    max_results=2,
)
```

## Params

| Parameter       | Type                       | Default        | Description                                                               |
| --------------- | -------------------------- | -------------- | ------------------------------------------------------------------------- |
| `model`         | `str`                      | `"openhermes"` | The name of the model used for generating embeddings.                     |
| `dimensions`    | `int`                      | `4096`         | The dimensionality of the embeddings generated by the model.              |
| `host`          | `str`                      | -              | The host address for the API endpoint.                                    |
| `timeout`       | `Any`                      | -              | The timeout duration for API requests.                                    |
| `options`       | `Any`                      | -              | Additional options for configuring the API request.                       |
| `client_kwargs` | `Optional[Dict[str, Any]]` | -              | Additional keyword arguments for configuring the API client. Optional.    |
| `ollama_client` | `Optional[OllamaClient]`   | -              | An instance of the OllamaClient to use for making API requests. Optional. |

## Developer Resources

* View [Cookbook](https://github.com/agno-agi/agno/tree/main/cookbook/08_knowledge/embedders/ollama_embedder.py)