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Weaviate - Fix schema existence check (#12711)
This will allow you create the schema beforehand. The check was failing and preventing importing into existing classes. <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->
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@ -461,7 +461,7 @@ class Weaviate(VectorStore):
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index_name = index_name or f"LangChain_{uuid4().hex}"
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schema = _default_schema(index_name)
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# check whether the index already exists
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if not client.schema.contains(schema):
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if not client.schema.exists(index_name):
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client.schema.create_class(schema)
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embeddings = embedding.embed_documents(texts) if embedding else None
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