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<!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** Adding Oracle Cloud Infrastructure Generative AI integration. Oracle Cloud Infrastructure (OCI) Generative AI is a fully managed service that provides a set of state-of-the-art, customizable large language models (LLMs) that cover a wide range of use cases, and which is available through a single API. Using the OCI Generative AI service you can access ready-to-use pretrained models, or create and host your own fine-tuned custom models based on your own data on dedicated AI clusters. https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm - **Issue:** None, - **Dependencies:** OCI Python SDK, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. Passed See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. we provide unit tests. However, we cannot provide integration tests due to Oracle policies that prohibit public sharing of api keys. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com> Co-authored-by: Bagatur <baskaryan@gmail.com>
65 lines
1.7 KiB
Python
65 lines
1.7 KiB
Python
from langchain_community.embeddings import __all__
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EXPECTED_ALL = [
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"OpenAIEmbeddings",
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"AzureOpenAIEmbeddings",
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"ClarifaiEmbeddings",
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"CohereEmbeddings",
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"DatabricksEmbeddings",
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"ElasticsearchEmbeddings",
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"FastEmbedEmbeddings",
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"HuggingFaceEmbeddings",
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"HuggingFaceInferenceAPIEmbeddings",
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"InfinityEmbeddings",
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"GradientEmbeddings",
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"JinaEmbeddings",
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"LlamaCppEmbeddings",
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"LLMRailsEmbeddings",
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"HuggingFaceHubEmbeddings",
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"MlflowAIGatewayEmbeddings",
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"MlflowEmbeddings",
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"MlflowCohereEmbeddings",
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"ModelScopeEmbeddings",
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"TensorflowHubEmbeddings",
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"SagemakerEndpointEmbeddings",
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"HuggingFaceInstructEmbeddings",
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"MosaicMLInstructorEmbeddings",
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"SelfHostedEmbeddings",
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"SelfHostedHuggingFaceEmbeddings",
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"SelfHostedHuggingFaceInstructEmbeddings",
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"FakeEmbeddings",
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"DeterministicFakeEmbedding",
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"AlephAlphaAsymmetricSemanticEmbedding",
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"AlephAlphaSymmetricSemanticEmbedding",
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"SentenceTransformerEmbeddings",
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"GooglePalmEmbeddings",
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"MiniMaxEmbeddings",
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"VertexAIEmbeddings",
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"BedrockEmbeddings",
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"DeepInfraEmbeddings",
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"EdenAiEmbeddings",
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"DashScopeEmbeddings",
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"EmbaasEmbeddings",
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"OctoAIEmbeddings",
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"SpacyEmbeddings",
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"NLPCloudEmbeddings",
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"GPT4AllEmbeddings",
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"XinferenceEmbeddings",
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"LocalAIEmbeddings",
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"AwaEmbeddings",
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"HuggingFaceBgeEmbeddings",
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"ErnieEmbeddings",
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"JavelinAIGatewayEmbeddings",
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"OllamaEmbeddings",
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"QianfanEmbeddingsEndpoint",
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"JohnSnowLabsEmbeddings",
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"VoyageEmbeddings",
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"BookendEmbeddings",
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"VolcanoEmbeddings",
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"OCIGenAIEmbeddings",
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]
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def test_all_imports() -> None:
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assert set(__all__) == set(EXPECTED_ALL)
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