diff --git a/libs/community/langchain_community/vectorstores/docarray/in_memory.py b/libs/community/langchain_community/vectorstores/docarray/in_memory.py
index 6abe0232e16..32fe95d9506 100644
--- a/libs/community/langchain_community/vectorstores/docarray/in_memory.py
+++ b/libs/community/langchain_community/vectorstores/docarray/in_memory.py
@@ -59,9 +59,7 @@ class DocArrayInMemorySearch(DocArrayIndex):
             embedding (Embeddings): Embedding function.
             metadatas (Optional[List[Dict[Any, Any]]]): Metadata for each text
                 if it exists. Defaults to None.
-            metric (str): metric for exact nearest-neighbor search.
-                Can be one of: "cosine_sim", "euclidean_dist" and "sqeuclidean_dist".
-                Defaults to "cosine_sim".
+            **kwargs: Other keyword arguments to be passed to the from_params method.
 
         Returns:
             DocArrayInMemorySearch Vector Store
diff --git a/libs/experimental/langchain_experimental/graph_transformers/llm.py b/libs/experimental/langchain_experimental/graph_transformers/llm.py
index 61997a8715d..24b8bff5d13 100644
--- a/libs/experimental/langchain_experimental/graph_transformers/llm.py
+++ b/libs/experimental/langchain_experimental/graph_transformers/llm.py
@@ -650,6 +650,10 @@ class LLMGraphTransformer:
           any relationship properties from text. Alternatively, a list of valid
           properties can be provided for the LLM to extract, restricting extraction to
           those specified.
+        ignore_tool_usage (bool): Indicates whether the transformer should
+          bypass the use of structured output functionality of the language model.
+          If set to True, the transformer will not use the language model's native
+          function calling capabilities to handle structured output. Defaults to False.
 
     Example:
         .. code-block:: python
@@ -675,16 +679,18 @@ class LLMGraphTransformer:
         strict_mode: bool = True,
         node_properties: Union[bool, List[str]] = False,
         relationship_properties: Union[bool, List[str]] = False,
+        ignore_tool_usage: bool = False,
     ) -> None:
         self.allowed_nodes = allowed_nodes
         self.allowed_relationships = allowed_relationships
         self.strict_mode = strict_mode
-        self._function_call = True
+        self._function_call = not ignore_tool_usage
         # Check if the LLM really supports structured output
-        try:
-            llm.with_structured_output(_Graph)
-        except NotImplementedError:
-            self._function_call = False
+        if self._function_call:
+            try:
+                llm.with_structured_output(_Graph)
+            except NotImplementedError:
+                self._function_call = False
         if not self._function_call:
             if node_properties or relationship_properties:
                 raise ValueError(
diff --git a/libs/partners/huggingface/poetry.lock b/libs/partners/huggingface/poetry.lock
index fee6b1d6494..1c24b01db7f 100644
--- a/libs/partners/huggingface/poetry.lock
+++ b/libs/partners/huggingface/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -283,6 +283,37 @@ files = [
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+    {file = "cffi-1.17.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0984a4925a435b1da406122d4d7968dd861c1385afe3b45ba82b750f229811e2"},
+    {file = "cffi-1.17.1-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d01b12eeeb4427d3110de311e1774046ad344f5b1a7403101878976ecd7a10f3"},
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+    {file = "cffi-1.17.1-cp39-cp39-win32.whl", hash = "sha256:e31ae45bc2e29f6b2abd0de1cc3b9d5205aa847cafaecb8af1476a609a2f6eb7"},
+    {file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"},
+    {file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"},
 ]
 
 [package.dependencies]
@@ -1048,20 +1079,20 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
 
 [[package]]
 name = "langchain"
-version = "0.2.16"
+version = "0.3.0.dev1"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain-0.2.16-py3-none-any.whl", hash = "sha256:8f59ee8b45f268df4b924ea3b9c63e49286efa756d16b3f6a9de5c6e502c36e1"},
-    {file = "langchain-0.2.16.tar.gz", hash = "sha256:ffb426a76a703b73ac69abad77cd16eaf03dda76b42cff55572f592d74944166"},
+    {file = "langchain-0.3.0.dev1-py3-none-any.whl", hash = "sha256:a57ec978b48915cfdbf6f7a683bc7b7c8b8dba2bbb8646f821740f42670430e9"},
+    {file = "langchain-0.3.0.dev1.tar.gz", hash = "sha256:27696f01e59aa772da082f5adff9d5f58b6edabe85392a54967456727c941362"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.2.38,<0.3.0"
-langchain-text-splitters = ">=0.2.0,<0.3.0"
+langchain-core = ">=0.3.0.dev2,<0.4.0"
+langchain-text-splitters = ">=0.3.0.dev1,<0.4.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = [
     {version = ">=1,<2", markers = "python_version < \"3.12\""},
@@ -1075,23 +1106,24 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-community"
-version = "0.2.16"
+version = "0.3.0.dev1"
 description = "Community contributed LangChain integrations."
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = ">=3.9,<4.0"
 files = []
 develop = true
 
 [package.dependencies]
 aiohttp = "^3.8.3"
 dataclasses-json = ">= 0.5.7, < 0.7"
-langchain = "^0.2.16"
-langchain-core = "^0.2.38"
+langchain = "^0.3.0.dev1"
+langchain-core = "^0.3.0.dev2"
 langsmith = "^0.1.0"
 numpy = [
     {version = ">=1,<2", markers = "python_version < \"3.12\""},
     {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
 ]
+pydantic-settings = "^2.4.0"
 PyYAML = ">=5.3"
 requests = "^2"
 SQLAlchemy = ">=1.4,<3"
@@ -1103,7 +1135,7 @@ url = "../../community"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.38"
+version = "0.3.0.dev2"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -1114,10 +1146,7 @@ develop = true
 jsonpatch = "^1.33"
 langsmith = "^0.1.75"
 packaging = ">=23.2,<25"
-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\""},
-]
+pydantic = "^2.7.4"
 PyYAML = ">=5.3"
 tenacity = "^8.1.0,!=8.4.0"
 typing-extensions = ">=4.7"
@@ -1131,13 +1160,13 @@ name = "langchain-standard-tests"
 version = "0.1.1"
 description = "Standard tests for LangChain implementations"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = ">=3.9,<4.0"
 files = []
 develop = true
 
 [package.dependencies]
 httpx = "^0.27.0"
-langchain-core = ">=0.1.40,<0.3"
+langchain-core = ">=0.3.0.dev1"
 pytest = ">=7,<9"
 syrupy = "^4"
 
@@ -1147,27 +1176,27 @@ url = "../../standard-tests"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.2.4"
+version = "0.3.0.dev1"
 description = "LangChain text splitting utilities"
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_text_splitters-0.2.4-py3-none-any.whl", hash = "sha256:2702dee5b7cbdd595ccbe43b8d38d01a34aa8583f4d6a5a68ad2305ae3e7b645"},
-    {file = "langchain_text_splitters-0.2.4.tar.gz", hash = "sha256:f7daa7a3b0aa8309ce248e2e2b6fc8115be01118d336c7f7f7dfacda0e89bf29"},
+    {file = "langchain_text_splitters-0.3.0.dev1-py3-none-any.whl", hash = "sha256:85abe6ab1aa95e8cc3bf985cd9e53848de616c21d3590a25ac13a694d409f133"},
+    {file = "langchain_text_splitters-0.3.0.dev1.tar.gz", hash = "sha256:5e13ca0f27719406c6c5575f48cdfb89755f02dd0f1c8af5d1f8a1a9f391f3a2"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.2.38,<0.3.0"
+langchain-core = ">=0.3.0.dev1,<0.4.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.112"
+version = "0.1.115"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.112-py3-none-any.whl", hash = "sha256:38ecc62df35e55e5aa9a05ecf1f1483d5a4db3275b9da4876ae27364714b3717"},
-    {file = "langsmith-0.1.112.tar.gz", hash = "sha256:08c47a9497261c332bc4b15e2930d8e751310e63652ecdc78382a5dd07cb42e2"},
+    {file = "langsmith-0.1.115-py3-none-any.whl", hash = "sha256:04e35cfd4c2d4ff1ea10bb577ff43957b05ebb3d9eb4e06e200701f4a2b4ac9f"},
+    {file = "langsmith-0.1.115.tar.gz", hash = "sha256:3b775377d858d32354f3ee0dd1ed637068cfe9a1f13e7b3bfa82db1615cdffc9"},
 ]
 
 [package.dependencies]
@@ -1988,127 +2017,148 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.8.2"
+version = "2.9.0"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic-2.8.2-py3-none-any.whl", hash = "sha256:73ee9fddd406dc318b885c7a2eab8a6472b68b8fb5ba8150949fc3db939f23c8"},
-    {file = "pydantic-2.8.2.tar.gz", hash = "sha256:6f62c13d067b0755ad1c21a34bdd06c0c12625a22b0fc09c6b149816604f7c2a"},
+    {file = "pydantic-2.9.0-py3-none-any.whl", hash = "sha256:f66a7073abd93214a20c5f7b32d56843137a7a2e70d02111f3be287035c45370"},
+    {file = "pydantic-2.9.0.tar.gz", hash = "sha256:c7a8a9fdf7d100afa49647eae340e2d23efa382466a8d177efcd1381e9be5598"},
 ]
 
 [package.dependencies]
 annotated-types = ">=0.4.0"
-pydantic-core = "2.20.1"
+pydantic-core = "2.23.2"
 typing-extensions = [
     {version = ">=4.6.1", markers = "python_version < \"3.13\""},
     {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
 ]
+tzdata = {version = "*", markers = "python_version >= \"3.9\""}
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
 
 [[package]]
 name = "pydantic-core"
-version = "2.20.1"
+version = "2.23.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
 files = [
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+
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+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
+
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 six = ">=1.5"
 
+[[package]]
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+description = "Read key-value pairs from a .env file and set them as environment variables"
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 [[package]]
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+    {file = "yarl-1.9.11.tar.gz", hash = "sha256:c7548a90cb72b67652e2cd6ae80e2683ee08fde663104528ac7df12d8ef271d2"},
 ]
 
 [package.dependencies]
@@ -3580,4 +3663,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "214417f8f15c30648db9cb244cc3b4e49f0bb254f6c123be83b568a60040182d"
+content-hash = "0b3a220713150a9a3e688b356a0cabdc7a4456122feb42bf7d857073815f9918"
diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py
index 5419119ba08..279f9630369 100644
--- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py
+++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py
@@ -394,7 +394,7 @@ class Milvus(VectorStore):
                     and (addr["address"] == given_address)
                     and ("user" in addr)
                     and (addr["user"] == tmp_user)
-                    and (addr["db_name"] == db_name)
+                    and (addr.get("db_name", "default") == db_name)
                 ):
                     logger.debug("Using previous connection: %s", con[0])
                     return con[0]
diff --git a/libs/partners/milvus/poetry.lock b/libs/partners/milvus/poetry.lock
index 9f2f18f114c..dcbf6d87e00 100644
--- a/libs/partners/milvus/poetry.lock
+++ b/libs/partners/milvus/poetry.lock
@@ -171,6 +171,23 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "coloredlogs"
+version = "15.0.1"
+description = "Colored terminal output for Python's logging module"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
+    {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
+]
+
+[package.dependencies]
+humanfriendly = ">=9.1"
+
+[package.extras]
+cron = ["capturer (>=2.4)"]
+
 [[package]]
 name = "environs"
 version = "9.5.0"
@@ -206,6 +223,33 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "filelock"
+version = "3.15.4"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
+    {file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
+]
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+[package.extras]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
+typing = ["typing-extensions (>=4.8)"]
+
+[[package]]
+name = "flatbuffers"
+version = "24.3.25"
+description = "The FlatBuffers serialization format for Python"
+optional = false
+python-versions = "*"
+files = [
+    {file = "flatbuffers-24.3.25-py2.py3-none-any.whl", hash = "sha256:8dbdec58f935f3765e4f7f3cf635ac3a77f83568138d6a2311f524ec96364812"},
+    {file = "flatbuffers-24.3.25.tar.gz", hash = "sha256:de2ec5b203f21441716617f38443e0a8ebf3d25bf0d9c0bb0ce68fa00ad546a4"},
+]
+
 [[package]]
 name = "freezegun"
 version = "1.5.1"
@@ -220,6 +264,45 @@ files = [
 [package.dependencies]
 python-dateutil = ">=2.7"
 
+[[package]]
+name = "fsspec"
+version = "2024.9.0"
+description = "File-system specification"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"},
+]
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+dev = ["pre-commit", "ruff"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "grpcio"
 version = "1.66.1"
@@ -335,6 +418,54 @@ http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "huggingface-hub"
+version = "0.24.6"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+    {file = "huggingface_hub-0.24.6.tar.gz", hash = "sha256:cc2579e761d070713eaa9c323e3debe39d5b464ae3a7261c39a9195b27bb8000"},
+]
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+[package.dependencies]
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+fsspec = ">=2023.5.0"
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
+
+[[package]]
+name = "humanfriendly"
+version = "10.0"
+description = "Human friendly output for text interfaces using Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+
 [[package]]
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 version = "3.8"
@@ -384,7 +515,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.0.dev1"
+version = "0.3.0.dev2"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -458,6 +589,41 @@ files = [
 [package.dependencies]
 tqdm = "*"
 
+[[package]]
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+description = "Model components for PyMilvus, the Python SDK for Milvus"
+optional = false
+python-versions = ">=3.8"
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+
+[[package]]
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+python-versions = "*"
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+tests = ["pytest (>=4.6)"]
+
 [[package]]
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 version = "0.991"
@@ -574,67 +740,47 @@ files = [
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 [[package]]
-name = "numpy"
-version = "2.1.1"
-description = "Fundamental package for array computing in Python"
+name = "onnxruntime"
+version = "1.19.2"
+description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
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+protobuf = "*"
+sympy = "*"
+
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 model = ["milvus-model (>=0.1.0)"]
 
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 version = "7.4.4"
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 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -1498,6 +2009,74 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
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+deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
+flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+ftfy = ["ftfy"]
+integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
+ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+modelcreation = ["cookiecutter (==1.7.3)"]
+natten = ["natten (>=0.14.6,<0.15.0)"]
+onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
+onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
+optuna = ["optuna"]
+quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
+ray = ["ray[tune] (>=2.7.0)"]
+retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
+ruff = ["ruff (==0.5.1)"]
+sagemaker = ["sagemaker (>=2.31.0)"]
+sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
+serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
+sigopt = ["sigopt"]
+sklearn = ["scikit-learn"]
+speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
+tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
+tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+timm = ["timm (<=0.9.16)"]
+tokenizers = ["tokenizers (>=0.19,<0.20)"]
+torch = ["accelerate (>=0.21.0)", "torch"]
+torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
+torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
+video = ["av (==9.2.0)", "decord (==0.6.0)"]
+vision = ["Pillow (>=10.0.1,<=15.0)"]
+
 [[package]]
 name = "types-requests"
 version = "2.32.0.20240905"
@@ -1683,4 +2262,4 @@ watchmedo = ["PyYAML (>=3.10)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "750ca8bd53789a6a4d50e2cd148247632d4b8bfa85acbd97b91cc84ec1f3d912"
+content-hash = "729248929e543a50f84ba78d565a3eee720318dc83fecba012f2b336d4af86e9"
diff --git a/libs/partners/milvus/pyproject.toml b/libs/partners/milvus/pyproject.toml
index 6b25da1e35f..2224f28509d 100644
--- a/libs/partners/milvus/pyproject.toml
+++ b/libs/partners/milvus/pyproject.toml
@@ -70,11 +70,13 @@ pytest-mock = "^3.10.0"
 syrupy = "^4.0.2"
 pytest-watcher = "^0.3.4"
 pytest-asyncio = "^0.21.1"
+milvus_model = "^0.2.0"
 
 [tool.poetry.group.codespell.dependencies]
 codespell = "^2.2.0"
 
 [tool.poetry.group.test_integration.dependencies]
+milvus_model = "^0.2.0"
 
 [tool.poetry.group.lint.dependencies]
 ruff = "^0.1.5"
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 cd7282c06e1..0de248b3ad5 100644
--- a/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py
+++ b/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py
@@ -120,7 +120,7 @@ def test_milvus_max_marginal_relevance_search() -> None:
         output,
         [
             Document(page_content="foo", metadata={"page": 0}),
-            Document(page_content="baz", metadata={"page": 2}),
+            Document(page_content="bar", metadata={"page": 1}),
         ],
     )
 
@@ -135,7 +135,7 @@ def test_milvus_max_marginal_relevance_search_with_dynamic_field() -> None:
         output,
         [
             Document(page_content="foo", metadata={"page": 0}),
-            Document(page_content="baz", metadata={"page": 2}),
+            Document(page_content="bar", metadata={"page": 1}),
         ],
     )
 
diff --git a/libs/partners/mistralai/poetry.lock b/libs/partners/mistralai/poetry.lock
index d970d7af6ff..cf94a74eb8e 100644
--- a/libs/partners/mistralai/poetry.lock
+++ b/libs/partners/mistralai/poetry.lock
@@ -391,7 +391,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.0.dev1"
+version = "0.3.0.dev2"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -422,7 +422,7 @@ develop = true
 
 [package.dependencies]
 httpx = "^0.27.0"
-langchain-core = "^0.3.0.dev"
+langchain-core = ">=0.3.0.dev1"
 pytest = ">=7,<9"
 syrupy = "^4"
 
diff --git a/libs/partners/ollama/poetry.lock b/libs/partners/ollama/poetry.lock
index 0f9bcf2cac1..4effd9bfd48 100644
--- a/libs/partners/ollama/poetry.lock
+++ b/libs/partners/ollama/poetry.lock
@@ -291,7 +291,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.0.dev1"
+version = "0.3.0.dev2"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -322,7 +322,7 @@ develop = true
 
 [package.dependencies]
 httpx = "^0.27.0"
-langchain-core = "^0.3.0.dev"
+langchain-core = ">=0.3.0.dev1"
 pytest = ">=7,<9"
 syrupy = "^4"
 
diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py
index 8d643fd6b84..9e1d8524668 100644
--- a/libs/partners/openai/langchain_openai/chat_models/base.py
+++ b/libs/partners/openai/langchain_openai/chat_models/base.py
@@ -741,7 +741,7 @@ class BaseChatOpenAI(BaseChatModel):
             )
             return
         if self.include_response_headers:
-            raw_response = self.async_client.with_raw_response.create(**payload)
+            raw_response = await self.async_client.with_raw_response.create(**payload)
             response = raw_response.parse()
             base_generation_info = {"headers": dict(raw_response.headers)}
         else:
diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
index 96f32c754f6..fb2a150efd2 100644
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
@@ -686,15 +686,47 @@ def test_openai_proxy() -> None:
         assert proxy.port == 8080
 
 
-def test_openai_response_headers_invoke() -> None:
+def test_openai_response_headers() -> None:
     """Test ChatOpenAI response headers."""
     chat_openai = ChatOpenAI(include_response_headers=True)
-    result = chat_openai.invoke("I'm Pickle Rick")
+    query = "I'm Pickle Rick"
+    result = chat_openai.invoke(query, max_tokens=10)
     headers = result.response_metadata["headers"]
     assert headers
     assert isinstance(headers, dict)
     assert "content-type" in headers
 
+    # Stream
+    full: Optional[BaseMessageChunk] = None
+    for chunk in chat_openai.stream(query, max_tokens=10):
+        full = chunk if full is None else full + chunk
+    assert isinstance(full, AIMessage)
+    headers = full.response_metadata["headers"]
+    assert headers
+    assert isinstance(headers, dict)
+    assert "content-type" in headers
+
+
+async def test_openai_response_headers_async() -> None:
+    """Test ChatOpenAI response headers."""
+    chat_openai = ChatOpenAI(include_response_headers=True)
+    query = "I'm Pickle Rick"
+    result = await chat_openai.ainvoke(query, max_tokens=10)
+    headers = result.response_metadata["headers"]
+    assert headers
+    assert isinstance(headers, dict)
+    assert "content-type" in headers
+
+    # Stream
+    full: Optional[BaseMessageChunk] = None
+    async for chunk in chat_openai.astream(query, max_tokens=10):
+        full = chunk if full is None else full + chunk
+    assert isinstance(full, AIMessage)
+    headers = full.response_metadata["headers"]
+    assert headers
+    assert isinstance(headers, dict)
+    assert "content-type" in headers
+
 
 def test_image_token_counting_jpeg() -> None:
     model = ChatOpenAI(model="gpt-4o", temperature=0)
diff --git a/libs/partners/unstructured/poetry.lock b/libs/partners/unstructured/poetry.lock
index 2670b635257..4e5c6754f2b 100644
--- a/libs/partners/unstructured/poetry.lock
+++ b/libs/partners/unstructured/poetry.lock
@@ -1282,7 +1282,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.0.dev1"
+version = "0.3.0.dev2"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
diff --git a/libs/partners/unstructured/pyproject.toml b/libs/partners/unstructured/pyproject.toml
index b6babafc0ae..30aa6ab3386 100644
--- a/libs/partners/unstructured/pyproject.toml
+++ b/libs/partners/unstructured/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-unstructured"
-version = "0.1.2"
+version = "0.1.3"
 description = "An integration package connecting Unstructured and LangChain"
 authors = []
 readme = "README.md"
diff --git a/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py b/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py
index 7e85c5f4d50..1bee7f88526 100644
--- a/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py
+++ b/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py
@@ -1,4 +1,5 @@
 """Unit tests for chat models."""
+
 import os
 from abc import abstractmethod
 from typing import Any, List, Literal, Optional, Tuple, Type
@@ -78,8 +79,7 @@ def my_adder(a: int, b: int) -> int:
 class ChatModelTests(BaseStandardTests):
     @property
     @abstractmethod
-    def chat_model_class(self) -> Type[BaseChatModel]:
-        ...
+    def chat_model_class(self) -> Type[BaseChatModel]: ...
 
     @property
     def chat_model_params(self) -> dict:
diff --git a/libs/standard-tests/poetry.lock b/libs/standard-tests/poetry.lock
index 37e2e4ad0ef..63b5814d85c 100644
--- a/libs/standard-tests/poetry.lock
+++ b/libs/standard-tests/poetry.lock
@@ -291,7 +291,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.0.dev1"
+version = "0.3.0.dev2"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -850,4 +850,4 @@ zstd = ["zstandard (>=0.18.0)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "924dfe6f251c333f7eeca4ec0e198619e5fc3833c7283c8c8f36fe259d326727"
+content-hash = "22c1c9b3fe4a45afb1baf05e3757a6e5cc502388e02c4452b13cbf266a61165d"