From b1b11de4c4337904450b190ce6b1459341120c31 Mon Sep 17 00:00:00 2001 From: Rohit Gupta Date: Thu, 20 Jun 2024 17:50:17 +0530 Subject: [PATCH 01/31] add array data type for milvus vector store collection create --- .../langchain_milvus/vectorstores/milvus.py | 245 +++++++++--------- 1 file changed, 127 insertions(+), 118 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 78bf7a98527de..9bf3e67941e9d 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -52,10 +52,10 @@ def cosine_similarity(X: Matrix, Y: Matrix) -> np.ndarray: def maximal_marginal_relevance( - query_embedding: np.ndarray, - embedding_list: list, - lambda_mult: float = 0.5, - k: int = 4, + query_embedding: np.ndarray, + embedding_list: list, + lambda_mult: float = 0.5, + k: int = 4, ) -> List[int]: """Calculate maximal marginal relevance.""" if min(k, len(embedding_list)) <= 0: @@ -75,7 +75,7 @@ def maximal_marginal_relevance( continue redundant_score = max(similarity_to_selected[i]) equation_score = ( - lambda_mult * query_score - (1 - lambda_mult) * redundant_score + lambda_mult * query_score - (1 - lambda_mult) * redundant_score ) if equation_score > best_score: best_score = equation_score @@ -177,27 +177,27 @@ class Milvus(VectorStore): """ def __init__( - self, - embedding_function: Embeddings, - collection_name: str = "LangChainCollection", - collection_description: str = "", - collection_properties: Optional[dict[str, Any]] = None, - connection_args: Optional[dict[str, Any]] = None, - consistency_level: str = "Session", - index_params: Optional[dict] = None, - search_params: Optional[dict] = None, - drop_old: Optional[bool] = False, - auto_id: bool = False, - *, - primary_field: str = "pk", - text_field: str = "text", - vector_field: str = "vector", - metadata_field: Optional[str] = None, - partition_key_field: Optional[str] = None, - partition_names: Optional[list] = None, - replica_number: int = 1, - timeout: Optional[float] = None, - num_shards: Optional[int] = None, + self, + embedding_function: Embeddings, + collection_name: str = "LangChainCollection", + collection_description: str = "", + collection_properties: Optional[dict[str, Any]] = None, + connection_args: Optional[dict[str, Any]] = None, + consistency_level: str = "Session", + index_params: Optional[dict] = None, + search_params: Optional[dict] = None, + drop_old: Optional[bool] = False, + auto_id: bool = False, + *, + primary_field: str = "pk", + text_field: str = "text", + vector_field: str = "vector", + metadata_field: Optional[str] = None, + partition_key_field: Optional[str] = None, + partition_names: Optional[list] = None, + replica_number: int = 1, + timeout: Optional[float] = None, + num_shards: Optional[int] = None, ): """Initialize the Milvus vector store.""" try: @@ -326,11 +326,11 @@ def _create_connection_alias(self, connection_args: dict) -> str: for con in connections.list_connections(): addr = connections.get_connection_addr(con[0]) if ( - con[1] - and ("address" in addr) - and (addr["address"] == given_address) - and ("user" in addr) - and (addr["user"] == tmp_user) + con[1] + and ("address" in addr) + and (addr["address"] == given_address) + and ("user" in addr) + and (addr["user"] == tmp_user) ): logger.debug("Using previous connection: %s", con[0]) return con[0] @@ -346,12 +346,12 @@ def _create_connection_alias(self, connection_args: dict) -> str: raise e def _init( - self, - embeddings: Optional[list] = None, - metadatas: Optional[list[dict]] = None, - partition_names: Optional[list] = None, - replica_number: int = 1, - timeout: Optional[float] = None, + self, + embeddings: Optional[list] = None, + metadatas: Optional[list[dict]] = None, + partition_names: Optional[list] = None, + replica_number: int = 1, + timeout: Optional[float] = None, ) -> None: if embeddings is not None: self._create_collection(embeddings, metadatas) @@ -365,7 +365,7 @@ def _init( ) def _create_collection( - self, embeddings: list, metadatas: Optional[list[dict]] = None + self, embeddings: list, metadatas: Optional[list[dict]] = None ) -> None: from pymilvus import ( Collection, @@ -403,6 +403,15 @@ def _create_collection( fields.append( FieldSchema(key, DataType.VARCHAR, max_length=65_535) ) + elif dtype == DataType.ARRAY: + kwargs = { + "element_type": DataType.VARCHAR, + "max_capacity": 5, + "max_length": 512, + } + fields.append( + FieldSchema(name=key, dtype=DataType.ARRAY, **kwargs) + ) else: fields.append(FieldSchema(key, dtype)) @@ -544,10 +553,10 @@ def _create_search_params(self) -> None: self.search_params["metric_type"] = metric_type def _load( - self, - partition_names: Optional[list] = None, - replica_number: int = 1, - timeout: Optional[float] = None, + self, + partition_names: Optional[list] = None, + replica_number: int = 1, + timeout: Optional[float] = None, ) -> None: """Load the collection if available.""" from pymilvus import Collection, utility @@ -555,10 +564,10 @@ def _load( timeout = self.timeout or timeout if ( - isinstance(self.col, Collection) - and self._get_index() is not None - and utility.load_state(self.collection_name, using=self.alias) - == LoadState.NotLoad + isinstance(self.col, Collection) + and self._get_index() is not None + and utility.load_state(self.collection_name, using=self.alias) + == LoadState.NotLoad ): self.col.load( partition_names=partition_names, @@ -567,14 +576,14 @@ def _load( ) def add_texts( - self, - texts: Iterable[str], - metadatas: Optional[List[dict]] = None, - timeout: Optional[float] = None, - batch_size: int = 1000, - *, - ids: Optional[List[str]] = None, - **kwargs: Any, + self, + texts: Iterable[str], + metadatas: Optional[List[dict]] = None, + timeout: Optional[float] = None, + batch_size: int = 1000, + *, + ids: Optional[List[str]] = None, + **kwargs: Any, ) -> List[str]: """Insert text data into Milvus. @@ -690,13 +699,13 @@ def add_texts( return pks def similarity_search( - self, - query: str, - k: int = 4, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + query: str, + k: int = 4, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Document]: """Perform a similarity search against the query string. @@ -723,13 +732,13 @@ def similarity_search( return [doc for doc, _ in res] def similarity_search_by_vector( - self, - embedding: List[float], - k: int = 4, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + embedding: List[float], + k: int = 4, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Document]: """Perform a similarity search against the query string. @@ -756,13 +765,13 @@ def similarity_search_by_vector( return [doc for doc, _ in res] def similarity_search_with_score( - self, - query: str, - k: int = 4, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + query: str, + k: int = 4, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Tuple[Document, float]]: """Perform a search on a query string and return results with score. @@ -796,13 +805,13 @@ def similarity_search_with_score( return res def similarity_search_with_score_by_vector( - self, - embedding: List[float], - k: int = 4, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + embedding: List[float], + k: int = 4, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Tuple[Document, float]]: """Perform a search on a query string and return results with score. @@ -856,15 +865,15 @@ def similarity_search_with_score_by_vector( return ret def max_marginal_relevance_search( - self, - query: str, - k: int = 4, - fetch_k: int = 20, - lambda_mult: float = 0.5, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + query: str, + k: int = 4, + fetch_k: int = 20, + lambda_mult: float = 0.5, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Document]: """Perform a search and return results that are reordered by MMR. @@ -906,15 +915,15 @@ def max_marginal_relevance_search( ) def max_marginal_relevance_search_by_vector( - self, - embedding: list[float], - k: int = 4, - fetch_k: int = 20, - lambda_mult: float = 0.5, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + embedding: list[float], + k: int = 4, + fetch_k: int = 20, + lambda_mult: float = 0.5, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Document]: """Perform a search and return results that are reordered by MMR. @@ -996,7 +1005,7 @@ def max_marginal_relevance_search_by_vector( return ret def delete( # type: ignore[no-untyped-def] - self, ids: Optional[List[str]] = None, expr: Optional[str] = None, **kwargs: str + self, ids: Optional[List[str]] = None, expr: Optional[str] = None, **kwargs: str ): """Delete by vector ID or boolean expression. Refer to [Milvus documentation](https://milvus.io/docs/delete_data.md) @@ -1021,19 +1030,19 @@ def delete( # type: ignore[no-untyped-def] @classmethod def from_texts( - cls, - texts: List[str], - embedding: Embeddings, - metadatas: Optional[List[dict]] = None, - collection_name: str = "LangChainCollection", - connection_args: dict[str, Any] = DEFAULT_MILVUS_CONNECTION, - consistency_level: str = "Session", - index_params: Optional[dict] = None, - search_params: Optional[dict] = None, - drop_old: bool = False, - *, - ids: Optional[List[str]] = None, - **kwargs: Any, + cls, + texts: List[str], + embedding: Embeddings, + metadatas: Optional[List[dict]] = None, + collection_name: str = "LangChainCollection", + connection_args: dict[str, Any] = DEFAULT_MILVUS_CONNECTION, + consistency_level: str = "Session", + index_params: Optional[dict] = None, + search_params: Optional[dict] = None, + drop_old: bool = False, + *, + ids: Optional[List[str]] = None, + **kwargs: Any, ) -> Milvus: """Create a Milvus collection, indexes it with HNSW, and insert data. @@ -1111,10 +1120,10 @@ def get_pks(self, expr: str, **kwargs: Any) -> List[int] | None: return pks def upsert( - self, - ids: Optional[List[str]] = None, - documents: List[Document] | None = None, - **kwargs: Any, + self, + ids: Optional[List[str]] = None, + documents: List[Document] | None = None, + **kwargs: Any, ) -> List[str] | None: """Update/Insert documents to the vectorstore. From 275ea24fdddacb7f91e68ae60eadabb9377cfa59 Mon Sep 17 00:00:00 2001 From: Rohit Gupta Date: Thu, 20 Jun 2024 17:52:59 +0530 Subject: [PATCH 02/31] add array data type for milvus vector store collection create --- .../langchain_milvus/vectorstores/milvus.py | 236 +++++++++--------- 1 file changed, 118 insertions(+), 118 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 9bf3e67941e9d..b712c5e503168 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -52,10 +52,10 @@ def cosine_similarity(X: Matrix, Y: Matrix) -> np.ndarray: def maximal_marginal_relevance( - query_embedding: np.ndarray, - embedding_list: list, - lambda_mult: float = 0.5, - k: int = 4, + query_embedding: np.ndarray, + embedding_list: list, + lambda_mult: float = 0.5, + k: int = 4, ) -> List[int]: """Calculate maximal marginal relevance.""" if min(k, len(embedding_list)) <= 0: @@ -75,7 +75,7 @@ def maximal_marginal_relevance( continue redundant_score = max(similarity_to_selected[i]) equation_score = ( - lambda_mult * query_score - (1 - lambda_mult) * redundant_score + lambda_mult * query_score - (1 - lambda_mult) * redundant_score ) if equation_score > best_score: best_score = equation_score @@ -177,27 +177,27 @@ class Milvus(VectorStore): """ def __init__( - self, - embedding_function: Embeddings, - collection_name: str = "LangChainCollection", - collection_description: str = "", - collection_properties: Optional[dict[str, Any]] = None, - connection_args: Optional[dict[str, Any]] = None, - consistency_level: str = "Session", - index_params: Optional[dict] = None, - search_params: Optional[dict] = None, - drop_old: Optional[bool] = False, - auto_id: bool = False, - *, - primary_field: str = "pk", - text_field: str = "text", - vector_field: str = "vector", - metadata_field: Optional[str] = None, - partition_key_field: Optional[str] = None, - partition_names: Optional[list] = None, - replica_number: int = 1, - timeout: Optional[float] = None, - num_shards: Optional[int] = None, + self, + embedding_function: Embeddings, + collection_name: str = "LangChainCollection", + collection_description: str = "", + collection_properties: Optional[dict[str, Any]] = None, + connection_args: Optional[dict[str, Any]] = None, + consistency_level: str = "Session", + index_params: Optional[dict] = None, + search_params: Optional[dict] = None, + drop_old: Optional[bool] = False, + auto_id: bool = False, + *, + primary_field: str = "pk", + text_field: str = "text", + vector_field: str = "vector", + metadata_field: Optional[str] = None, + partition_key_field: Optional[str] = None, + partition_names: Optional[list] = None, + replica_number: int = 1, + timeout: Optional[float] = None, + num_shards: Optional[int] = None, ): """Initialize the Milvus vector store.""" try: @@ -326,11 +326,11 @@ def _create_connection_alias(self, connection_args: dict) -> str: for con in connections.list_connections(): addr = connections.get_connection_addr(con[0]) if ( - con[1] - and ("address" in addr) - and (addr["address"] == given_address) - and ("user" in addr) - and (addr["user"] == tmp_user) + con[1] + and ("address" in addr) + and (addr["address"] == given_address) + and ("user" in addr) + and (addr["user"] == tmp_user) ): logger.debug("Using previous connection: %s", con[0]) return con[0] @@ -346,12 +346,12 @@ def _create_connection_alias(self, connection_args: dict) -> str: raise e def _init( - self, - embeddings: Optional[list] = None, - metadatas: Optional[list[dict]] = None, - partition_names: Optional[list] = None, - replica_number: int = 1, - timeout: Optional[float] = None, + self, + embeddings: Optional[list] = None, + metadatas: Optional[list[dict]] = None, + partition_names: Optional[list] = None, + replica_number: int = 1, + timeout: Optional[float] = None, ) -> None: if embeddings is not None: self._create_collection(embeddings, metadatas) @@ -365,7 +365,7 @@ def _init( ) def _create_collection( - self, embeddings: list, metadatas: Optional[list[dict]] = None + self, embeddings: list, metadatas: Optional[list[dict]] = None ) -> None: from pymilvus import ( Collection, @@ -553,10 +553,10 @@ def _create_search_params(self) -> None: self.search_params["metric_type"] = metric_type def _load( - self, - partition_names: Optional[list] = None, - replica_number: int = 1, - timeout: Optional[float] = None, + self, + partition_names: Optional[list] = None, + replica_number: int = 1, + timeout: Optional[float] = None, ) -> None: """Load the collection if available.""" from pymilvus import Collection, utility @@ -564,10 +564,10 @@ def _load( timeout = self.timeout or timeout if ( - isinstance(self.col, Collection) - and self._get_index() is not None - and utility.load_state(self.collection_name, using=self.alias) - == LoadState.NotLoad + isinstance(self.col, Collection) + and self._get_index() is not None + and utility.load_state(self.collection_name, using=self.alias) + == LoadState.NotLoad ): self.col.load( partition_names=partition_names, @@ -576,14 +576,14 @@ def _load( ) def add_texts( - self, - texts: Iterable[str], - metadatas: Optional[List[dict]] = None, - timeout: Optional[float] = None, - batch_size: int = 1000, - *, - ids: Optional[List[str]] = None, - **kwargs: Any, + self, + texts: Iterable[str], + metadatas: Optional[List[dict]] = None, + timeout: Optional[float] = None, + batch_size: int = 1000, + *, + ids: Optional[List[str]] = None, + **kwargs: Any, ) -> List[str]: """Insert text data into Milvus. @@ -699,13 +699,13 @@ def add_texts( return pks def similarity_search( - self, - query: str, - k: int = 4, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + query: str, + k: int = 4, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Document]: """Perform a similarity search against the query string. @@ -732,13 +732,13 @@ def similarity_search( return [doc for doc, _ in res] def similarity_search_by_vector( - self, - embedding: List[float], - k: int = 4, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + embedding: List[float], + k: int = 4, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Document]: """Perform a similarity search against the query string. @@ -765,13 +765,13 @@ def similarity_search_by_vector( return [doc for doc, _ in res] def similarity_search_with_score( - self, - query: str, - k: int = 4, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + query: str, + k: int = 4, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Tuple[Document, float]]: """Perform a search on a query string and return results with score. @@ -805,13 +805,13 @@ def similarity_search_with_score( return res def similarity_search_with_score_by_vector( - self, - embedding: List[float], - k: int = 4, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + embedding: List[float], + k: int = 4, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Tuple[Document, float]]: """Perform a search on a query string and return results with score. @@ -865,15 +865,15 @@ def similarity_search_with_score_by_vector( return ret def max_marginal_relevance_search( - self, - query: str, - k: int = 4, - fetch_k: int = 20, - lambda_mult: float = 0.5, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + query: str, + k: int = 4, + fetch_k: int = 20, + lambda_mult: float = 0.5, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Document]: """Perform a search and return results that are reordered by MMR. @@ -915,15 +915,15 @@ def max_marginal_relevance_search( ) def max_marginal_relevance_search_by_vector( - self, - embedding: list[float], - k: int = 4, - fetch_k: int = 20, - lambda_mult: float = 0.5, - param: Optional[dict] = None, - expr: Optional[str] = None, - timeout: Optional[float] = None, - **kwargs: Any, + self, + embedding: list[float], + k: int = 4, + fetch_k: int = 20, + lambda_mult: float = 0.5, + param: Optional[dict] = None, + expr: Optional[str] = None, + timeout: Optional[float] = None, + **kwargs: Any, ) -> List[Document]: """Perform a search and return results that are reordered by MMR. @@ -1005,7 +1005,7 @@ def max_marginal_relevance_search_by_vector( return ret def delete( # type: ignore[no-untyped-def] - self, ids: Optional[List[str]] = None, expr: Optional[str] = None, **kwargs: str + self, ids: Optional[List[str]] = None, expr: Optional[str] = None, **kwargs: str ): """Delete by vector ID or boolean expression. Refer to [Milvus documentation](https://milvus.io/docs/delete_data.md) @@ -1030,19 +1030,19 @@ def delete( # type: ignore[no-untyped-def] @classmethod def from_texts( - cls, - texts: List[str], - embedding: Embeddings, - metadatas: Optional[List[dict]] = None, - collection_name: str = "LangChainCollection", - connection_args: dict[str, Any] = DEFAULT_MILVUS_CONNECTION, - consistency_level: str = "Session", - index_params: Optional[dict] = None, - search_params: Optional[dict] = None, - drop_old: bool = False, - *, - ids: Optional[List[str]] = None, - **kwargs: Any, + cls, + texts: List[str], + embedding: Embeddings, + metadatas: Optional[List[dict]] = None, + collection_name: str = "LangChainCollection", + connection_args: dict[str, Any] = DEFAULT_MILVUS_CONNECTION, + consistency_level: str = "Session", + index_params: Optional[dict] = None, + search_params: Optional[dict] = None, + drop_old: bool = False, + *, + ids: Optional[List[str]] = None, + **kwargs: Any, ) -> Milvus: """Create a Milvus collection, indexes it with HNSW, and insert data. @@ -1120,10 +1120,10 @@ def get_pks(self, expr: str, **kwargs: Any) -> List[int] | None: return pks def upsert( - self, - ids: Optional[List[str]] = None, - documents: List[Document] | None = None, - **kwargs: Any, + self, + ids: Optional[List[str]] = None, + documents: List[Document] | None = None, + **kwargs: Any, ) -> List[str] | None: """Update/Insert documents to the vectorstore. From a8e2d085250cee86dc938fd6077e82903b960a1d Mon Sep 17 00:00:00 2001 From: Rohit Gupta Date: Thu, 20 Jun 2024 18:02:02 +0530 Subject: [PATCH 03/31] add array data type for milvus vector store collection create --- libs/partners/milvus/poetry.lock | 448 ++++++++++++++-------------- libs/partners/milvus/pyproject.toml | 2 +- 2 files changed, 223 insertions(+), 227 deletions(-) diff --git a/libs/partners/milvus/poetry.lock b/libs/partners/milvus/poetry.lock index 059dade2041fa..5b4a00c1c50ed 100644 --- a/libs/partners/milvus/poetry.lock +++ b/libs/partners/milvus/poetry.lock @@ -16,13 +16,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} [[package]] name = "certifi" -version = "2024.2.2" +version = "2024.6.2" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.6" files = [ - {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"}, - {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"}, + {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"}, + {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"}, ] [[package]] @@ -297,18 +297,18 @@ jsonpointer = ">=1.9" [[package]] name = "jsonpointer" -version = "2.4" +version = "3.0.0" description = "Identify specific nodes in a JSON document (RFC 6901)" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*" +python-versions = ">=3.7" files = [ - {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"}, - {file = "jsonpointer-2.4.tar.gz", hash = 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langchain-core = "^0.2.0" pymilvus = "^2.4.3" scipy = "^1.7" From 3ab4b6c59fce398a89a60800168a4cdbef93c224 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 00:05:08 +0530 Subject: [PATCH 04/31] add array data type for milvus vector store collection create --- .../langchain_milvus/vectorstores/milvus.py | 40 +- libs/partners/milvus/poetry.lock | 390 +++++++++--------- libs/partners/milvus/pyproject.toml | 5 +- 3 files changed, 224 insertions(+), 211 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index b712c5e503168..dea310509374d 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -128,6 +128,33 @@ class Milvus(VectorStore): metadata_field (str): Name of the metadta field. Defaults to None. When metadata_field is specified, the document's metadata will store as json. + field_schema (Optional[dict]): What is the dataType of fields, + Default is Varchar, Example of field schema dict is :- + [ + { + "field_name": "column1", + "dtype": "DataType.ARRAY", + "kwargs": { + "element_type": "DataType.VARCHAR", + "max_capacity": 20, + "max_length": 1000 + } + }, + { + "field_name": "column1", + "dtype": "DataType.ARRAY", + "kwargs": { + "element_type": "DataType.INT64", + "max_capacity": 50 + } + }, + { + "field_name": "column1", + "dtype": "DataType.INT64" + } + ] + + The connection args used for this class comes in the form of a dict, here are a few of the options: @@ -198,6 +225,7 @@ def __init__( replica_number: int = 1, timeout: Optional[float] = None, num_shards: Optional[int] = None, + field_schema: Optional[dict] = None, ): """Initialize the Milvus vector store.""" try: @@ -257,6 +285,7 @@ def __init__( self.replica_number = replica_number self.timeout = timeout self.num_shards = num_shards + self.field_schema = field_schema # Create the connection to the server if connection_args is None: @@ -387,7 +416,10 @@ def _create_collection( # Create FieldSchema for each entry in metadata. for key, value in metadatas[0].items(): # Infer the corresponding datatype of the metadata - dtype = infer_dtype_bydata(value) + dtype = self.field_schema[key]["dtype"] \ + if key in self.field_schema and "dtype" in self.field_schema[key] \ + else infer_dtype_bydata(value) + # Datatype isn't compatible if dtype == DataType.UNKNOWN or dtype == DataType.NONE: logger.error( @@ -404,11 +436,7 @@ def _create_collection( FieldSchema(key, DataType.VARCHAR, max_length=65_535) ) elif dtype == DataType.ARRAY: - kwargs = { - "element_type": DataType.VARCHAR, - "max_capacity": 5, - "max_length": 512, - } + kwargs = self.field_schema[key]["kwargs"] fields.append( FieldSchema(name=key, dtype=DataType.ARRAY, **kwargs) ) diff --git a/libs/partners/milvus/poetry.lock b/libs/partners/milvus/poetry.lock index 5b4a00c1c50ed..060a334ae8fea 100644 --- a/libs/partners/milvus/poetry.lock +++ b/libs/partners/milvus/poetry.lock @@ -308,7 +308,7 @@ files = [ [[package]] name = "langchain-core" -version = "0.2.9" +version = "0.2.10" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.8.1,<4.0" @@ -319,7 +319,10 @@ develop = true jsonpatch = "^1.33" langsmith = "^0.1.75" packaging = ">=23.2,<25" -pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""} +pydantic = [ + {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}, + {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""}, +] PyYAML = ">=5.3" tenacity = "^8.1.0,!=8.4.0" @@ -329,18 +332,21 @@ url = "../../core" [[package]] name = "langsmith" -version = "0.1.81" +version = "0.1.83" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false 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libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index dea310509374d..1f3918c05a547 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -417,7 +417,8 @@ def _create_collection( for key, value in metadatas[0].items(): # Infer the corresponding datatype of the metadata dtype = self.field_schema[key]["dtype"] \ - if key in self.field_schema and "dtype" in self.field_schema[key] \ + if key in self.field_schema and \ + "dtype" in self.field_schema[key] \ else infer_dtype_bydata(value) # Datatype isn't compatible From d3012fde53c69be51a0b9244f166a278871ead0b Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 00:19:51 +0530 Subject: [PATCH 06/31] add array data type for milvus vector store collection create --- .../milvus/langchain_milvus/vectorstores/milvus.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 1f3918c05a547..4333ada75e77b 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -416,10 +416,12 @@ def _create_collection( # Create FieldSchema for each entry in metadata. for key, value in metadatas[0].items(): # Infer the corresponding datatype of the metadata - dtype = self.field_schema[key]["dtype"] \ - if key in self.field_schema and \ - "dtype" in self.field_schema[key] \ + dtype = ( + self.field_schema[key]["dtype"] + if key in self.field_schema + and "dtype" in self.field_schema[key] else infer_dtype_bydata(value) + ) # Datatype isn't compatible if dtype == DataType.UNKNOWN or dtype == DataType.NONE: From bc3325373deaba1ded8a1b661fe598fb28e9cbef Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 00:40:34 +0530 Subject: [PATCH 07/31] add array data type for milvus vector store collection create --- libs/partners/milvus/pyproject.toml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/libs/partners/milvus/pyproject.toml b/libs/partners/milvus/pyproject.toml index ba0042583611c..36acf46ab1fa3 100644 --- a/libs/partners/milvus/pyproject.toml +++ b/libs/partners/milvus/pyproject.toml @@ -14,6 +14,10 @@ license = "MIT" python = ">=3.8.1,<4.0" langchain-core = "^0.2.0" pymilvus = "^2.4.4" +numpy = [ + {version = "1.25.0", python = "<3.12"}, + {version = "^1.26.0", python = ">=3.12"} +] [tool.poetry.group.test] optional = true From a4ce1a9fea8eff37fa698d244e26430129b9207a Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 00:44:53 +0530 Subject: [PATCH 08/31] add array data type for milvus vector store collection create --- libs/partners/milvus/poetry.lock | 57 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+ +[package.dependencies] +numpy = ">=1.19.5,<1.27.0" + +[package.extras] +dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"] +doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"] +test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] + [[package]] name = "setuptools" version = "70.2.0" @@ -1269,5 +1298,5 @@ watchmedo = ["PyYAML (>=3.10)"] [metadata] lock-version = "2.0" -python-versions = ">=3.8.1,<4.0" -content-hash = "a08d57b91ee4aa0ab8d5c213b1d26d91a2a6f6bf535a052f139e868d1261dff5" +python-versions = ">=3.8.1,<3.12" +content-hash = "7a4529498323a4b24ef3161d78d2826501caee40890972edb095b5dd6f95e2d1" diff --git a/libs/partners/milvus/pyproject.toml b/libs/partners/milvus/pyproject.toml index 36acf46ab1fa3..2d11dde9bc8f8 100644 --- a/libs/partners/milvus/pyproject.toml +++ b/libs/partners/milvus/pyproject.toml @@ -11,13 +11,10 @@ license = "MIT" "Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/milvus" [tool.poetry.dependencies] -python = ">=3.8.1,<4.0" +python = ">=3.8.1,<3.12" langchain-core = "^0.2.0" pymilvus = "^2.4.4" -numpy = [ - {version = "1.25.0", python = "<3.12"}, - {version = "^1.26.0", python = ">=3.12"} -] +scipy = "^1.7" [tool.poetry.group.test] optional = true From 9f70ca78946a8eba0d4b8891f616d785677b4321 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 01:41:40 +0530 Subject: [PATCH 09/31] add array data type for milvus vector store collection create --- .../milvus/langchain_milvus/vectorstores/milvus.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 4333ada75e77b..f0541c89e8312 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -416,12 +416,10 @@ def _create_collection( # Create FieldSchema for each entry in metadata. for key, value in metadatas[0].items(): # Infer the corresponding datatype of the metadata - dtype = ( - self.field_schema[key]["dtype"] - if key in self.field_schema - and "dtype" in self.field_schema[key] - else infer_dtype_bydata(value) - ) + if key in self.field_schema and "dtype" in self.field_schema[key]: + dtype = self.field_schema[key]["dtype"] + else: + dtype = infer_dtype_bydata(value) # Datatype isn't compatible if dtype == DataType.UNKNOWN or dtype == DataType.NONE: From b8b94bd2e99bba13e1fbe143248b9139348ed638 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 01:47:01 +0530 Subject: [PATCH 10/31] add array data type for milvus vector store collection create --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index f0541c89e8312..f538ef3be2f40 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -225,7 +225,7 @@ def __init__( replica_number: int = 1, timeout: Optional[float] = None, num_shards: Optional[int] = None, - field_schema: Optional[dict] = None, + field_schema: Optional[dict] = dict(), ): """Initialize the Milvus vector store.""" try: From 2b5d0cfddc7cef19d86e8e77096d74c73d1cb6c4 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 01:51:53 +0530 Subject: [PATCH 11/31] add array data type for milvus vector store collection create --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index f538ef3be2f40..d913d03f0d1e8 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -416,7 +416,8 @@ def _create_collection( # Create FieldSchema for each entry in metadata. for key, value in metadatas[0].items(): # Infer the corresponding datatype of the metadata - if key in self.field_schema and "dtype" in self.field_schema[key]: + field_type = "dtype" + if key in self.field_schema and field_type in self.field_schema[key]: dtype = self.field_schema[key]["dtype"] else: dtype = infer_dtype_bydata(value) From cecd70774a075ae109a7d8df6db408c82950f728 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 01:56:46 +0530 Subject: [PATCH 12/31] add array data type for milvus vector store collection create --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index d913d03f0d1e8..2552f2cffd463 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -417,7 +417,8 @@ def _create_collection( for key, value in metadatas[0].items(): # Infer the corresponding datatype of the metadata field_type = "dtype" - if key in self.field_schema and field_type in self.field_schema[key]: + if key in self.field_schema and \ + field_type in self.field_schema[key]: dtype = self.field_schema[key]["dtype"] else: dtype = infer_dtype_bydata(value) From d6b90f7c48fb5bd476f1c44ad64eeba544beff62 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 02:16:44 +0530 Subject: [PATCH 13/31] add array data type for milvus vector store collection create --- .../partners/milvus/langchain_milvus/vectorstores/milvus.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 2552f2cffd463..9804ee0f0c811 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -417,8 +417,10 @@ def _create_collection( for key, value in metadatas[0].items(): # Infer the corresponding datatype of the metadata field_type = "dtype" - if key in self.field_schema and \ - field_type in self.field_schema[key]: + if ( + key in self.field_schema + and field_type in self.field_schema[key] + ): dtype = self.field_schema[key]["dtype"] else: dtype = infer_dtype_bydata(value) From fb3ed0f889c056647c582ea70ded6703ac1dbf0b Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 10:23:23 +0530 Subject: [PATCH 14/31] add array data type for milvus vector store collection create --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 9804ee0f0c811..3cf8ebf223659 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -225,7 +225,7 @@ def __init__( replica_number: int = 1, timeout: Optional[float] = None, num_shards: Optional[int] = None, - field_schema: Optional[dict] = dict(), + field_schema: Optional[dict[str, Any]] = dict(), ): """Initialize the Milvus vector store.""" try: From 7719a0dc257bdb041b21068ff5bd95bc41079eba Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 10:50:54 +0530 Subject: [PATCH 15/31] add array data type for milvus vector store collection create --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 3cf8ebf223659..1c4da0da47441 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -225,7 +225,7 @@ def __init__( replica_number: int = 1, timeout: Optional[float] = None, num_shards: Optional[int] = None, - field_schema: Optional[dict[str, Any]] = dict(), + field_schema: Optional[dict[str, Any]] = None, ): """Initialize the Milvus vector store.""" try: From 0e22cff94949d4f668e23078c9cc619bdb69bfc7 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 16:06:19 +0530 Subject: [PATCH 16/31] add array data type for milvus vector store collection create --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 1c4da0da47441..0bb0abc211634 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -225,7 +225,7 @@ def __init__( replica_number: int = 1, timeout: Optional[float] = None, num_shards: Optional[int] = None, - field_schema: Optional[dict[str, Any]] = None, + field_schema: Optional[dict[str, dict]] = None, ): """Initialize the Milvus vector store.""" try: From 3601c2de43b7c6d6641e1e5669c527ef9cb4d911 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 3 Jul 2024 16:21:52 +0530 Subject: [PATCH 17/31] add array data type for milvus vector store collection create --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 0bb0abc211634..87e2b3b9279c8 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -225,7 +225,7 @@ def __init__( replica_number: int = 1, timeout: Optional[float] = None, num_shards: Optional[int] = None, - field_schema: Optional[dict[str, dict]] = None, + field_schema: Optional[dict[str, dict[str, Any]]] = None, ): """Initialize the Milvus vector store.""" try: From ae234cb2a3f85e6a24f8c7a946ece5808e5d1b2d Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Thu, 4 Jul 2024 15:05:56 +0530 Subject: [PATCH 18/31] update --- libs/partners/milvus/poetry.lock | 391 ++++++++++++++++++---------- libs/partners/milvus/pyproject.toml | 13 +- 2 files changed, 261 insertions(+), 143 deletions(-) diff --git a/libs/partners/milvus/poetry.lock b/libs/partners/milvus/poetry.lock index 12e61036a3747..9dd26b303c6fa 100644 --- a/libs/partners/milvus/poetry.lock +++ b/libs/partners/milvus/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. [[package]] name = "annotated-types" @@ -16,13 +16,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} [[package]] name = "certifi" -version = "2024.6.2" +version = "2024.2.2" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.6" files = [ - {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"}, - {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"}, + {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"}, + {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"}, ] [[package]] @@ -297,18 +297,18 @@ jsonpointer = ">=1.9" [[package]] name = "jsonpointer" -version = "3.0.0" +version = "2.4" description = "Identify specific nodes in a JSON document (RFC 6901)" optional = false -python-versions = ">=3.7" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*" files = [ - {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, - {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"}, + {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"}, + {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"}, ] [[package]] name = "langchain-core" -version = "0.2.10" +version = "0.2.11" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.8.1,<4.0" @@ -319,7 +319,10 @@ develop = true jsonpatch = "^1.33" langsmith = "^0.1.75" packaging = ">=23.2,<25" -pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""} +pydantic = [ + {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}, + {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""}, +] PyYAML = ">=5.3" tenacity = "^8.1.0,!=8.4.0" @@ -340,18 +343,21 @@ files = [ [package.dependencies] orjson = ">=3.9.14,<4.0.0" -pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""} +pydantic = [ + {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}, + {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""}, +] requests = ">=2,<3" [[package]] name = "marshmallow" -version = "3.21.3" +version = "3.21.2" description = "A lightweight library for converting complex datatypes to and from native Python datatypes." optional = false python-versions = ">=3.8" files = [ - {file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"}, - {file = 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not be changed by hand. 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langchain-core = "^0.2.0" pymilvus = "^2.4.3" From c25cd52d46bba1d3ab23f68dda6eca06eb09e967 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Fri, 5 Jul 2024 11:18:27 +0530 Subject: [PATCH 20/31] lint error --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 87e2b3b9279c8..d7114b4f9cc43 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -225,7 +225,7 @@ def __init__( replica_number: int = 1, timeout: Optional[float] = None, num_shards: Optional[int] = None, - field_schema: Optional[dict[str, dict[str, Any]]] = None, + field_schema: Optional[dict[str, Any]] = None, ): """Initialize the Milvus vector store.""" try: @@ -419,7 +419,7 @@ def _create_collection( field_type = "dtype" if ( key in self.field_schema - and field_type in self.field_schema[key] + and field_type in self.field_schema[key] #type: ignore ): dtype = self.field_schema[key]["dtype"] else: From 99f8db8cbc09a86e326b4c5ed3b0d0678f83dc23 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Fri, 5 Jul 2024 11:19:03 +0530 Subject: [PATCH 21/31] lint error --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index d7114b4f9cc43..8c875ef6ef553 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -419,7 +419,7 @@ def _create_collection( field_type = "dtype" if ( key in self.field_schema - and field_type in self.field_schema[key] #type: ignore + and field_type in self.field_schema[key] # type: ignore ): dtype = self.field_schema[key]["dtype"] else: From 8585008a0ba1320e3081e4e59641964daa43dca7 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Fri, 5 Jul 2024 11:21:25 +0530 Subject: [PATCH 22/31] lint error --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 8c875ef6ef553..59c0f3988fc56 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -421,7 +421,7 @@ def _create_collection( key in self.field_schema and field_type in self.field_schema[key] # type: ignore ): - dtype = self.field_schema[key]["dtype"] + dtype = self.field_schema[key]["dtype"] # type: ignore else: dtype = infer_dtype_bydata(value) @@ -441,7 +441,7 @@ def _create_collection( FieldSchema(key, DataType.VARCHAR, max_length=65_535) ) elif dtype == DataType.ARRAY: - kwargs = self.field_schema[key]["kwargs"] + kwargs = self.field_schema[key]["kwargs"] # type: ignore fields.append( FieldSchema(name=key, dtype=DataType.ARRAY, **kwargs) ) From 410d616f9cf3707409a694022b8e5f9983820be4 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Fri, 5 Jul 2024 11:29:14 +0530 Subject: [PATCH 23/31] lint error --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 59c0f3988fc56..121b2efcc7255 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -418,7 +418,7 @@ def _create_collection( # Infer the corresponding datatype of the metadata field_type = "dtype" if ( - key in self.field_schema + key in self.field_schema # type: ignore and field_type in self.field_schema[key] # type: ignore ): dtype = self.field_schema[key]["dtype"] # type: ignore From 3195bca371c7d24bd49cf8bd9408b871bb092307 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Tue, 16 Jul 2024 12:14:11 +0530 Subject: [PATCH 24/31] resolve comments --- .../langchain_milvus/vectorstores/milvus.py | 27 +++++++++---------- 1 file changed, 12 insertions(+), 15 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index ef830043bd3fe..ea763eedb6866 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -138,11 +138,10 @@ class Milvus(VectorStore): metadata_field (str): Name of the metadta field. Defaults to None. When metadata_field is specified, the document's metadata will store as json. - field_schema (Optional[dict]): What is the dataType of fields, + metadata_schema (Optional[dict]): What is the dataType of each metadata fields, Default is Varchar, Example of field schema dict is :- - [ - { - "field_name": "column1", + { + "column1": { "dtype": "DataType.ARRAY", "kwargs": { "element_type": "DataType.VARCHAR", @@ -150,19 +149,17 @@ class Milvus(VectorStore): "max_length": 1000 } }, - { - "field_name": "column1", + "column2": { "dtype": "DataType.ARRAY", "kwargs": { "element_type": "DataType.INT64", "max_capacity": 50 } }, - { - "field_name": "column1", + "column3": { "dtype": "DataType.INT64" } - ] + } @@ -235,7 +232,7 @@ def __init__( replica_number: int = 1, timeout: Optional[float] = None, num_shards: Optional[int] = None, - field_schema: Optional[dict[str, Any]] = None, + metadata_schema: Optional[dict[str, Any]] = None, ): """Initialize the Milvus vector store.""" try: @@ -295,7 +292,7 @@ def __init__( self.replica_number = replica_number self.timeout = timeout self.num_shards = num_shards - self.field_schema = field_schema + self.metadata_schema = metadata_schema # Create the connection to the server if connection_args is None: @@ -428,10 +425,10 @@ def _create_collection( # Infer the corresponding datatype of the metadata field_type = "dtype" if ( - key in self.field_schema # type: ignore - and field_type in self.field_schema[key] # type: ignore + key in self.metadata_schema # type: ignore + and field_type in self.metadata_schema[key] # type: ignore ): - dtype = self.field_schema[key]["dtype"] # type: ignore + dtype = self.metadata_schema[key]["dtype"] # type: ignore else: dtype = infer_dtype_bydata(value) @@ -451,7 +448,7 @@ def _create_collection( FieldSchema(key, DataType.VARCHAR, max_length=65_535) ) elif dtype == DataType.ARRAY: - kwargs = self.field_schema[key]["kwargs"] # type: ignore + kwargs = self.metadata_schema[key]["kwargs"] # type: ignore fields.append( FieldSchema(name=key, dtype=DataType.ARRAY, **kwargs) ) From ce58e66164b3bbce7b6ed5c106e5a96b0477a0b6 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 17 Jul 2024 16:42:03 +0530 Subject: [PATCH 25/31] incorporate review comments --- .../langchain_milvus/vectorstores/milvus.py | 48 ++++++++++--------- 1 file changed, 25 insertions(+), 23 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index ea763eedb6866..95203ab1fb566 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -428,32 +428,34 @@ def _create_collection( key in self.metadata_schema # type: ignore and field_type in self.metadata_schema[key] # type: ignore ): - dtype = self.metadata_schema[key]["dtype"] # type: ignore - else: - dtype = infer_dtype_bydata(value) - - # Datatype isn't compatible - if dtype == DataType.UNKNOWN or dtype == DataType.NONE: - logger.error( - ( - "Failure to create collection, " - "unrecognized dtype for key: %s" - ), - key, - ) - raise ValueError(f"Unrecognized datatype for {key}.") - # Dataype is a string/varchar equivalent - elif dtype == DataType.VARCHAR: + kwargs = self.metadata_schema[key]["kwargs"] fields.append( - FieldSchema(key, DataType.VARCHAR, max_length=65_535) - ) - elif dtype == DataType.ARRAY: - kwargs = self.metadata_schema[key]["kwargs"] # type: ignore - fields.append( - FieldSchema(name=key, dtype=DataType.ARRAY, **kwargs) + FieldSchema(name=key, dtype=self.metadata_schema[key][field_type], **kwargs) ) else: - fields.append(FieldSchema(key, dtype)) + dtype = infer_dtype_bydata(value) + # Datatype isn't compatible + if dtype == DataType.UNKNOWN or dtype == DataType.NONE: + logger.error( + ( + "Failure to create collection, " + "unrecognized dtype for key: %s" + ), + key, + ) + raise ValueError(f"Unrecognized datatype for {key}.") + # Dataype is a string/varchar equivalent + elif dtype == DataType.VARCHAR: + fields.append( + FieldSchema(key, DataType.VARCHAR, max_length=65_535) + ) + elif dtype == DataType.ARRAY: + kwargs = self.metadata_schema[key]["kwargs"] # type: ignore + fields.append( + FieldSchema(name=key, dtype=DataType.ARRAY, **kwargs) + ) + else: + fields.append(FieldSchema(key, dtype)) # Create the text field fields.append( From 66101e775e7c34a983d9700bf9e4983294d8ff95 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 17 Jul 2024 16:47:35 +0530 Subject: [PATCH 26/31] incorporate review comments --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 95203ab1fb566..0d5a1eba0ccac 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -430,7 +430,9 @@ def _create_collection( ): kwargs = self.metadata_schema[key]["kwargs"] fields.append( - FieldSchema(name=key, dtype=self.metadata_schema[key][field_type], **kwargs) + FieldSchema( + name=key, dtype=self.metadata_schema[key][field_type], **kwargs + ) ) else: dtype = infer_dtype_bydata(value) From d14cd87a3ef92bebe621afc36298383755deb399 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 17 Jul 2024 16:49:42 +0530 Subject: [PATCH 27/31] incorporate review comments --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 0d5a1eba0ccac..3453b371b0e95 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -431,7 +431,9 @@ def _create_collection( kwargs = self.metadata_schema[key]["kwargs"] fields.append( FieldSchema( - name=key, dtype=self.metadata_schema[key][field_type], **kwargs + name=key, + dtype=self.metadata_schema[key][field_type], + **kwargs ) ) else: From 4f8f1c4a6aae097731ece11e355c3ed36f5f06fd Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 17 Jul 2024 17:02:20 +0530 Subject: [PATCH 28/31] incorporate review comments --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 3453b371b0e95..3f4ef6b09c16d 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -433,7 +433,7 @@ def _create_collection( FieldSchema( name=key, dtype=self.metadata_schema[key][field_type], - **kwargs + **kwargs, ) ) else: From e31a606ed10237f37f0003adaf846cfaaf575ad4 Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 17 Jul 2024 17:05:37 +0530 Subject: [PATCH 29/31] incorporate review comments --- .../milvus/langchain_milvus/vectorstores/milvus.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 3f4ef6b09c16d..5d34b3ef73d12 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -425,14 +425,14 @@ def _create_collection( # Infer the corresponding datatype of the metadata field_type = "dtype" if ( - key in self.metadata_schema # type: ignore - and field_type in self.metadata_schema[key] # type: ignore + key in self.metadata_schema + and field_type in self.metadata_schema[key] ): - kwargs = self.metadata_schema[key]["kwargs"] + kwargs = self.metadata_schema[key]["kwargs"] # type: ignore fields.append( FieldSchema( name=key, - dtype=self.metadata_schema[key][field_type], + dtype=self.metadata_schema[key][field_type], # type: ignore **kwargs, ) ) From 6ec9b86adf33c416cc6d8a241195198c9d6b5d2c Mon Sep 17 00:00:00 2001 From: r0g0bum Date: Wed, 17 Jul 2024 17:07:46 +0530 Subject: [PATCH 30/31] incorporate review comments --- libs/partners/milvus/langchain_milvus/vectorstores/milvus.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 5d34b3ef73d12..dcdbc072d8016 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -425,8 +425,8 @@ def _create_collection( # Infer the corresponding datatype of the metadata field_type = "dtype" if ( - key in self.metadata_schema - and field_type in self.metadata_schema[key] + key in self.metadata_schema # type: ignore + and field_type in self.metadata_schema[key] # type: ignore ): kwargs = self.metadata_schema[key]["kwargs"] # type: ignore fields.append( From 63387b16bc034046112e4055ee39c479a82a1cab Mon Sep 17 00:00:00 2001 From: ChengZi Date: Tue, 27 Aug 2024 17:36:15 +0800 Subject: [PATCH 31/31] partners[milvus]: refine milvus array dtype Signed-off-by: ChengZi --- .../langchain_milvus/vectorstores/milvus.py | 14 ++++-- .../vectorstores/test_milvus.py | 47 +++++++++++++++++++ 2 files changed, 56 insertions(+), 5 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 24f54dcb91beb..7139c71b15189 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -472,16 +472,15 @@ def _create_collection( ) raise ValueError(f"Metadata key {key} is reserved.") # Infer the corresponding datatype of the metadata - field_type = "dtype" if ( key in self.metadata_schema # type: ignore - and field_type in self.metadata_schema[key] # type: ignore + and "dtype" in self.metadata_schema[key] # type: ignore ): - kwargs = self.metadata_schema[key]["kwargs"] # type: ignore + kwargs = self.metadata_schema[key].get("kwargs", {}) # type: ignore fields.append( FieldSchema( name=key, - dtype=self.metadata_schema[key][field_type], # type: ignore + dtype=self.metadata_schema[key]["dtype"], # type: ignore **kwargs, ) ) @@ -497,11 +496,16 @@ def _create_collection( key, ) raise ValueError(f"Unrecognized datatype for {key}.") - # Dataype is a string/varchar equivalent + # Datatype is a string/varchar equivalent elif dtype == DataType.VARCHAR: fields.append( FieldSchema(key, DataType.VARCHAR, max_length=65_535) ) + # infer_dtype_bydata currently can't recognize array type, + # so this line can not be accessed. + # This line may need to be modified in the future when + # infer_dtype_bydata can recognize array type. + # https://github.com/milvus-io/pymilvus/issues/2165 elif dtype == DataType.ARRAY: kwargs = self.metadata_schema[key]["kwargs"] # type: ignore fields.append( diff --git a/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py b/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py index 7e9b8f76f9a5f..2066f61c56d51 100644 --- a/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py +++ b/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py @@ -39,6 +39,7 @@ def _milvus_from_texts( # connection_args={"uri": "http://127.0.0.1:19530"}, connection_args={"uri": "./milvus_demo.db"}, drop_old=drop, + consistency_level="Strong", **kwargs, ) @@ -303,6 +304,51 @@ def test_milvus_enable_dynamic_field_with_partition_key() -> None: } +def test_milvus_array_field() -> None: + """Manually specify metadata schema, including an array_field. + For more information about array data type and filtering, please refer to + https://milvus.io/docs/array_data_type.md + """ + from pymilvus import DataType + + texts = ["foo", "bar", "baz"] + metadatas = [{"id": i, "array_field": [i, i + 1, i + 2]} for i in range(len(texts))] + + # Manually specify metadata schema, including an array_field. + # If some fields are not specified, Milvus will automatically infer their schemas. + docsearch = _milvus_from_texts( + metadatas=metadatas, + metadata_schema={ + "array_field": { + "dtype": DataType.ARRAY, + "kwargs": {"element_type": DataType.INT64, "max_capacity": 50}, + }, + # "id": { + # "dtype": DataType.INT64, + # } + }, + ) + output = docsearch.similarity_search("foo", k=10, expr="array_field[0] < 2") + assert len(output) == 2 + output = docsearch.similarity_search( + "foo", k=10, expr="ARRAY_CONTAINS(array_field, 3)" + ) + assert len(output) == 2 + + # If we use enable_dynamic_field, + # there is no need to manually specify metadata schema. + docsearch = _milvus_from_texts( + enable_dynamic_field=True, + metadatas=metadatas, + ) + output = docsearch.similarity_search("foo", k=10, expr="array_field[0] < 2") + assert len(output) == 2 + output = docsearch.similarity_search( + "foo", k=10, expr="ARRAY_CONTAINS(array_field, 3)" + ) + assert len(output) == 2 + + # if __name__ == "__main__": # test_milvus() # test_milvus_vector_search() @@ -319,3 +365,4 @@ def test_milvus_enable_dynamic_field_with_partition_key() -> None: # test_milvus_enable_dynamic_field() # test_milvus_disable_dynamic_field() # test_milvus_metadata_field() +# test_milvus_array_field()