## Issue
#1080
## Change
Adds a `dimension()` method in the `EmbeddingModel` interface that returns the dimension of the `Embedding`s produced by this `EmbeddingModel`.
If dimension is known (e.g., can be derived from the model name), it is returned. If not known, a "test" string is embedded and the embedding dimension is cached and returned.
## General checklist
<!-- Please double-check the following points and mark them like this:
[X] -->
- [x] There are no breaking changes
- [x] I have added unit and integration tests for my change
- [x] I have manually run all the unit and integration tests in the
module I have added/changed, and they are all green
- [x] I have manually run all the unit and integration tests in the
[core](https://github.com/langchain4j/langchain4j/tree/main/langchain4j-core)
and
[main](https://github.com/langchain4j/langchain4j/tree/main/langchain4j)
modules, and they are all green
<!-- Before adding documentation and example(s) (below), please wait
until the PR is reviewed and approved. -->
- [ ] I have added/updated the
[documentation](https://github.com/langchain4j/langchain4j/tree/main/docs/docs)
- [ ] I have added an example in the [examples
repo](https://github.com/langchain4j/langchain4j-examples) (only for
"big" features)
## Checklist for adding new model integration
<!-- Please double-check the following points and mark them like this:
[X] -->
- [ ] I have added my new module in the
[BOM](https://github.com/langchain4j/langchain4j/blob/main/langchain4j-bom/pom.xml)
## Checklist for adding new embedding store integration
<!-- Please double-check the following points and mark them like this:
[X] -->
- [ ] I have added a `{NameOfIntegration}EmbeddingStoreIT` that extends
from either `EmbeddingStoreIT` or `EmbeddingStoreWithFilteringIT`
- [ ] I have added my new module in the
[BOM](https://github.com/langchain4j/langchain4j/blob/main/langchain4j-bom/pom.xml)
## Checklist for changing existing embedding store integration
<!-- Please double-check the following points and mark them like this:
[X] -->
- [ ] I have manually verified that the
`{NameOfIntegration}EmbeddingStore` works correctly with the data
persisted using the latest released version of LangChain4j
This is a small prototype based on discussions originating from
https://github.com/ai-for-java/openai4j/pull/13
The approach I took here is to allow for decorating the models/builders
with additional functionality without having to extend model classes or
builders. I did it for a single model in this prototype - the
`OpenAiChatModel`, but this pattern could be applied to all of the other
models across Langchain4J.
That doesn't mean you couldn't extend the model classes if you wanted to
use inheritance. I just try to avoid it and use composition instead.
I also added a test which shows how it would be used. Downstream
libraries (like Spring Boot or Quarkus) could use this mechanism to
extend/enhance with their own capabilities which aren't necessarily part
of the model.
Let me know what you think @geoand / @langchain4j !
Happy to continue conversation and see where we can bring this!
Currently, IT in LocalAI module depends on a instance running.
This commit introduces the use of Testcontainers using
`GenericContainer`.
Also, due to the size of the image and the models. The image is
cached after the first run, improving next executions.
LangChain4j