Other embedding integrations such as Cohere and OpenAI already send
requests in batches. We should do that for Ollama too to improve
throughput.
The Ollama [`.embed`
API](https://github.com/ollama/ollama-python/blob/63ca74762284100b2f0ad207bc00fa3d32720fbd/ollama/_client.py#L359-L378)
was added in version 0.3.0 (almost a year ago) so I updated the version
requirement in pyproject.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Bug Fixes**
- Improved compatibility with newer versions of the "ollama" package by
requiring version 0.3.0 or higher.
- Enhanced embedding generation to process batches of texts more
efficiently and reliably.
- **Refactor**
- Improved type consistency and clarity for embedding-related methods.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
