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e71e6564b1
Fixes #34623 Add `dimensions` field to `OllamaEmbeddings` to allow users to specify output embedding size for models that support variable dimensions . The field is passed directly to the Ollama client's `embed()` call for both sync and async methods. **How I verified it works:** - Ran unit tests: `python -m pytest tests/unit_tests/ -v` - Ran integration tests against a live Ollama instance: `OLLAMA_HOST=http://ollama:11434 python -m pytest tests/integration_tests/ -v` - Confirmed that passing `dimensions=768` no longer raises `extra_forbidden` Pydantic validation error and returns embeddings of the expected size. --------- Co-authored-by: Mason Daugherty <mason@langchain.dev> Co-authored-by: Mason Daugherty <github@mdrxy.com>
langchain-ollama
Looking for the JS/TS version? Check out LangChain.js.
Quick Install
pip install langchain-ollama
🤔 What is this?
This package contains the LangChain integration with Ollama
📖 Documentation
For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using these classes, see the LangChain Docs.
📕 Releases & Versioning
See our Releases and Versioning policies.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.