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Add the collection_description parameter to Milvus (#14524)
Because Milvus' collection_name doesn't support UFT8 characters in other languages, I want the `collection_descriotion`. <!-- 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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@ -40,6 +40,8 @@ class Milvus(VectorStore):
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embedding_function (Embeddings): Function used to embed the text.
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embedding_function (Embeddings): Function used to embed the text.
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collection_name (str): Which Milvus collection to use. Defaults to
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collection_name (str): Which Milvus collection to use. Defaults to
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"LangChainCollection".
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"LangChainCollection".
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collection_description (str): The description of the collection. Defaults to
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"".
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connection_args (Optional[dict[str, any]]): The connection args used for
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connection_args (Optional[dict[str, any]]): The connection args used for
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this class comes in the form of a dict.
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this class comes in the form of a dict.
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consistency_level (str): The consistency level to use for a collection.
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consistency_level (str): The consistency level to use for a collection.
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@ -106,6 +108,7 @@ class Milvus(VectorStore):
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self,
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self,
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embedding_function: Embeddings,
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embedding_function: Embeddings,
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collection_name: str = "LangChainCollection",
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collection_name: str = "LangChainCollection",
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collection_description: str = "",
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connection_args: Optional[dict[str, Any]] = None,
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connection_args: Optional[dict[str, Any]] = None,
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consistency_level: str = "Session",
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consistency_level: str = "Session",
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index_params: Optional[dict] = None,
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index_params: Optional[dict] = None,
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@ -142,6 +145,7 @@ class Milvus(VectorStore):
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self.embedding_func = embedding_function
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self.embedding_func = embedding_function
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self.collection_name = collection_name
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self.collection_name = collection_name
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self.collection_description = collection_description
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self.index_params = index_params
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self.index_params = index_params
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self.search_params = search_params
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self.search_params = search_params
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self.consistency_level = consistency_level
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self.consistency_level = consistency_level
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@ -298,7 +302,7 @@ class Milvus(VectorStore):
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)
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)
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# Create the schema for the collection
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# Create the schema for the collection
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schema = CollectionSchema(fields)
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schema = CollectionSchema(fields, description=self.collection_description)
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# Create the collection
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# Create the collection
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try:
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try:
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