diff --git a/libs/community/langchain_community/document_loaders/blob_loaders/__init__.py b/libs/community/langchain_community/document_loaders/blob_loaders/__init__.py
index 4fb20f10d00..95907e77ffc 100644
--- a/libs/community/langchain_community/document_loaders/blob_loaders/__init__.py
+++ b/libs/community/langchain_community/document_loaders/blob_loaders/__init__.py
@@ -4,6 +4,9 @@ from typing import TYPE_CHECKING, Any
 from langchain_core.document_loaders import Blob, BlobLoader
 
 if TYPE_CHECKING:
+    from langchain_community.document_loaders.blob_loaders.cloud_blob_loader import (
+        CloudBlobLoader,
+    )
     from langchain_community.document_loaders.blob_loaders.file_system import (
         FileSystemBlobLoader,
     )
@@ -13,6 +16,9 @@ if TYPE_CHECKING:
 
 
 _module_lookup = {
+    "CloudBlobLoader": (
+        "langchain_community.document_loaders.blob_loaders.cloud_blob_loader"
+    ),
     "FileSystemBlobLoader": (
         "langchain_community.document_loaders.blob_loaders.file_system"
     ),
@@ -32,6 +38,7 @@ def __getattr__(name: str) -> Any:
 __all__ = [
     "BlobLoader",
     "Blob",
+    "CloudBlobLoader",
     "FileSystemBlobLoader",
     "YoutubeAudioLoader",
 ]
diff --git a/libs/community/langchain_community/document_loaders/blob_loaders/cloud_blob_loader.py b/libs/community/langchain_community/document_loaders/blob_loaders/cloud_blob_loader.py
new file mode 100644
index 00000000000..fb3173a7eda
--- /dev/null
+++ b/libs/community/langchain_community/document_loaders/blob_loaders/cloud_blob_loader.py
@@ -0,0 +1,289 @@
+"""Use to load blobs from the local file system."""
+import contextlib
+import mimetypes
+import tempfile
+from io import BufferedReader, BytesIO
+from pathlib import Path
+from typing import (
+    TYPE_CHECKING,
+    Callable,
+    Generator,
+    Iterable,
+    Iterator,
+    Optional,
+    Sequence,
+    TypeVar,
+    Union,
+)
+from urllib.parse import urlparse
+
+if TYPE_CHECKING:
+    from cloudpathlib import AnyPath
+
+from langchain_community.document_loaders.blob_loaders.schema import (
+    Blob,
+    BlobLoader,
+)
+
+T = TypeVar("T")
+
+
+class _CloudBlob(Blob):
+    def as_string(self) -> str:
+        """Read data as a string."""
+        from cloudpathlib import AnyPath
+
+        if self.data is None and self.path:
+            return AnyPath(self.path).read_text(encoding=self.encoding)  # type: ignore
+        elif isinstance(self.data, bytes):
+            return self.data.decode(self.encoding)
+        elif isinstance(self.data, str):
+            return self.data
+        else:
+            raise ValueError(f"Unable to get string for blob {self}")
+
+    def as_bytes(self) -> bytes:
+        """Read data as bytes."""
+        from cloudpathlib import AnyPath
+
+        if isinstance(self.data, bytes):
+            return self.data
+        elif isinstance(self.data, str):
+            return self.data.encode(self.encoding)
+        elif self.data is None and self.path:
+            return AnyPath(self.path).read_bytes()  # type: ignore
+        else:
+            raise ValueError(f"Unable to get bytes for blob {self}")
+
+    @contextlib.contextmanager
+    def as_bytes_io(self) -> Generator[Union[BytesIO, BufferedReader], None, None]:
+        """Read data as a byte stream."""
+        from cloudpathlib import AnyPath
+
+        if isinstance(self.data, bytes):
+            yield BytesIO(self.data)
+        elif self.data is None and self.path:
+            return AnyPath(self.path).read_bytes()  # type: ignore
+        else:
+            raise NotImplementedError(f"Unable to convert blob {self}")
+
+
+def _url_to_filename(url: str) -> str:
+    """
+    Convert file:, s3:, az: or gs: url to localfile.
+    If the file is not here, download it in a temporary file.
+    """
+    from cloudpathlib import AnyPath
+
+    url_parsed = urlparse(url)
+    suffix = Path(url_parsed.path).suffix
+    if url_parsed.scheme in ["s3", "az", "gs"]:
+        with AnyPath(url).open("rb") as f:  # type: ignore
+            temp_file = tempfile.NamedTemporaryFile(suffix=suffix, delete=False)
+            while True:
+                buf = f.read()
+                if not buf:
+                    break
+                temp_file.write(buf)
+            temp_file.close()
+            file_path = temp_file.name
+    elif url_parsed.scheme in ["file", ""]:
+        file_path = url_parsed.path
+    else:
+        raise ValueError(f"Scheme {url_parsed.scheme} not supported")
+    return file_path
+
+
+def _make_iterator(
+    length_func: Callable[[], int], show_progress: bool = False
+) -> Callable[[Iterable[T]], Iterator[T]]:
+    """Create a function that optionally wraps an iterable in tqdm."""
+    if show_progress:
+        try:
+            from tqdm.auto import tqdm
+        except ImportError:
+            raise ImportError(
+                "You must install tqdm to use show_progress=True."
+                "You can install tqdm with `pip install tqdm`."
+            )
+
+        # Make sure to provide `total` here so that tqdm can show
+        # a progress bar that takes into account the total number of files.
+        def _with_tqdm(iterable: Iterable[T]) -> Iterator[T]:
+            """Wrap an iterable in a tqdm progress bar."""
+            return tqdm(iterable, total=length_func())
+
+        iterator = _with_tqdm
+    else:
+        iterator = iter  # type: ignore
+
+    return iterator
+
+
+# PUBLIC API
+
+
+class CloudBlobLoader(BlobLoader):
+    """Load blobs from cloud URL or file:.
+
+    Example:
+
+    .. code-block:: python
+
+        loader = CloudBlobLoader("s3://mybucket/id")
+        for blob in loader.yield_blobs():
+            print(blob)
+    """  # noqa: E501
+
+    def __init__(
+        self,
+        url: Union[str, "AnyPath"],
+        *,
+        glob: str = "**/[!.]*",
+        exclude: Sequence[str] = (),
+        suffixes: Optional[Sequence[str]] = None,
+        show_progress: bool = False,
+    ) -> None:
+        """Initialize with a url and how to glob over it.
+        Use [CloudPathLib](https://cloudpathlib.drivendata.org/).
+
+        Args:
+            url: Cloud URL to load from.
+                  If a path to a file is provided, glob/exclude/suffixes are ignored.
+            glob: Glob pattern relative to the specified path
+                  by default set to pick up all non-hidden files
+            exclude: patterns to exclude from results, use glob syntax
+            suffixes: Provide to keep only files with these suffixes
+                      Useful when wanting to keep files with different suffixes
+                      Suffixes must include the dot, e.g. ".txt"
+            show_progress: If true, will show a progress bar as the files are loaded.
+                           This forces an iteration through all matching files
+                           to count them prior to loading them.
+
+        Examples:
+
+            .. code-block:: python
+                from langchain_community.document_loaders.blob_loaders import CloudBlobLoader
+
+                # Load a single file.
+                loader = CloudBlobLoader("s3://mybucket/id") # az://
+
+                # Recursively load all text files in a directory.
+                loader = CloudBlobLoader("az://mybucket/id", glob="**/*.txt")
+
+                # Recursively load all non-hidden files in a directory.
+                loader = CloudBlobLoader("gs://mybucket/id", glob="**/[!.]*")
+
+                # Load all files in a directory without recursion.
+                loader = CloudBlobLoader("s3://mybucket/id", glob="*")
+
+                # Recursively load all files in a directory, except for py or pyc files.
+                loader = CloudBlobLoader(
+                    "s3://mybucket/id",
+                    glob="**/*.txt",
+                    exclude=["**/*.py", "**/*.pyc"]
+                )
+        """  # noqa: E501
+        from cloudpathlib import AnyPath
+
+        url_parsed = urlparse(str(url))
+
+        if url_parsed.scheme == "file":
+            url = url_parsed.path
+
+        if isinstance(url, str):
+            self.path = AnyPath(url)
+        else:
+            self.path = url
+
+        self.glob = glob
+        self.suffixes = set(suffixes or [])
+        self.show_progress = show_progress
+        self.exclude = exclude
+
+    def yield_blobs(
+        self,
+    ) -> Iterable[Blob]:
+        """Yield blobs that match the requested pattern."""
+        iterator = _make_iterator(
+            length_func=self.count_matching_files, show_progress=self.show_progress
+        )
+
+        for path in iterator(self._yield_paths()):
+            # yield Blob.from_path(path)
+            yield self.from_path(path)
+
+    def _yield_paths(self) -> Iterable["AnyPath"]:
+        """Yield paths that match the requested pattern."""
+        if self.path.is_file():  # type: ignore
+            yield self.path
+            return
+
+        paths = self.path.glob(self.glob)
+        for path in paths:
+            if self.exclude:
+                if any(path.match(glob) for glob in self.exclude):
+                    continue
+            if path.is_file():
+                if self.suffixes and path.suffix not in self.suffixes:
+                    continue  # FIXME
+                yield path
+
+    def count_matching_files(self) -> int:
+        """Count files that match the pattern without loading them."""
+        # Carry out a full iteration to count the files without
+        # materializing anything expensive in memory.
+        num = 0
+        for _ in self._yield_paths():
+            num += 1
+        return num
+
+    @classmethod
+    def from_path(
+        cls,
+        path: "AnyPath",
+        *,
+        encoding: str = "utf-8",
+        mime_type: Optional[str] = None,
+        guess_type: bool = True,
+        metadata: Optional[dict] = None,
+    ) -> Blob:
+        """Load the blob from a path like object.
+
+        Args:
+            path: path like object to file to be read
+            encoding: Encoding to use if decoding the bytes into a string
+            mime_type: if provided, will be set as the mime-type of the data
+            guess_type: If True, the mimetype will be guessed from the file extension,
+                        if a mime-type was not provided
+            metadata: Metadata to associate with the blob
+
+        Returns:
+            Blob instance
+        """
+        if mime_type is None and guess_type:
+            _mimetype = mimetypes.guess_type(path)[0] if guess_type else None  # type: ignore
+        else:
+            _mimetype = mime_type
+
+        url_parsed = urlparse(str(path))
+        if url_parsed.scheme in ["file", ""]:
+            if url_parsed.scheme == "file":
+                local_path = url_parsed.path
+            else:
+                local_path = str(path)
+            return Blob(
+                data=None,
+                mimetype=_mimetype,
+                encoding=encoding,
+                path=local_path,
+                metadata=metadata if metadata is not None else {},
+            )
+
+        return _CloudBlob(
+            data=None,
+            mimetype=_mimetype,
+            encoding=encoding,
+            path=str(path),
+            metadata=metadata if metadata is not None else {},
+        )
diff --git a/libs/community/poetry.lock b/libs/community/poetry.lock
index 915ff9e4bd7..727ac1f605c 100644
--- a/libs/community/poetry.lock
+++ b/libs/community/poetry.lock
@@ -12,21 +12,6 @@ files = [
     {file = "aenum-3.1.15.tar.gz", hash = "sha256:8cbd76cd18c4f870ff39b24284d3ea028fbe8731a58df3aa581e434c575b9559"},
 ]
 
-[[package]]
-name = "aerospike-vector-search"
-version = "0.6.1"
-description = "Aerospike Vector Search Client Library for Python"
-optional = true
-python-versions = ">3.8"
-files = [
-    {file = "aerospike-vector-search-0.6.1.tar.gz", hash = "sha256:1d3dcf84221a08434a0b2fb4bbac040b3718a169cdd7e44a725eae2fdbad6a43"},
-    {file = "aerospike_vector_search-0.6.1-py3-none-any.whl", hash = "sha256:cc7cc7c829f218c4ee9ccd93ca0ecad7104d81deac236309dcdf87e9c399fd35"},
-]
-
-[package.dependencies]
-grpcio = "*"
-protobuf = "*"
-
 [[package]]
 name = "aiodns"
 version = "3.1.1"
@@ -1065,6 +1050,26 @@ click = ">=4.0"
 [package.extras]
 test = ["pytest-cov"]
 
+[[package]]
+name = "cloudpathlib"
+version = "0.18.1"
+description = "pathlib-style classes for cloud storage services."
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "cloudpathlib-0.18.1-py3-none-any.whl", hash = "sha256:20efd5d772c75df91bb2ac52e053be53fd9000f5e9755fd92375a2a9fe6005e0"},
+    {file = "cloudpathlib-0.18.1.tar.gz", hash = "sha256:ffd22f324bfbf9c3f2bc1bec6e8372cb372a0feef17c7f2b48030cd6810ea859"},
+]
+
+[package.dependencies]
+typing_extensions = {version = ">4", markers = "python_version < \"3.11\""}
+
+[package.extras]
+all = ["cloudpathlib[azure]", "cloudpathlib[gs]", "cloudpathlib[s3]"]
+azure = ["azure-storage-blob (>=12)"]
+gs = ["google-cloud-storage"]
+s3 = ["boto3"]
+
 [[package]]
 name = "cloudpickle"
 version = "3.0.0"
@@ -1185,7 +1190,6 @@ files = [
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-    {file = "contourpy-1.1.0-cp310-cp310-win32.whl", hash = "sha256:9b2dd2ca3ac561aceef4c7c13ba654aaa404cf885b187427760d7f7d4c57cff8"},
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@@ -1194,7 +1198,6 @@ files = [
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-    {file = "contourpy-1.1.0-cp311-cp311-win32.whl", hash = "sha256:edb989d31065b1acef3828a3688f88b2abb799a7db891c9e282df5ec7e46221b"},
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@@ -1203,7 +1206,6 @@ files = [
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@@ -1212,7 +1214,6 @@ files = [
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     {file = "contourpy-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:438ba416d02f82b692e371858143970ed2eb6337d9cdbbede0d8ad9f3d7dd17d"},
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@@ -3470,6 +3471,7 @@ files = [
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+    {file = "jq-1.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:49e44ed677713f4115bd5bf2dbae23baa4cd503be350e12a1c1f506b0687848f"},
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@@ -3553,7 +3555,6 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
 files = [
     {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
-    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
 ]
 
 [[package]]
@@ -4133,7 +4134,6 @@ files = [
     {file = "lxml-4.9.4-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d"},
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     {file = "SQLAlchemy-2.0.28-cp38-cp38-win_amd64.whl", hash = "sha256:243feb6882b06a2af68ecf4bec8813d99452a1b62ba2be917ce6283852cf701b"},
     {file = "SQLAlchemy-2.0.28-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fc4974d3684f28b61b9a90fcb4c41fb340fd4b6a50c04365704a4da5a9603b05"},
     {file = "SQLAlchemy-2.0.28-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:87724e7ed2a936fdda2c05dbd99d395c91ea3c96f029a033a4a20e008dd876bf"},
-    {file = "SQLAlchemy-2.0.28-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68722e6a550f5de2e3cfe9da6afb9a7dd15ef7032afa5651b0f0c6b3adb8815d"},
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-    {file = "SQLAlchemy-2.0.28-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:df40c16a7e8be7413b885c9bf900d402918cc848be08a59b022478804ea076b8"},
     {file = "SQLAlchemy-2.0.28-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:426f2fa71331a64f5132369ede5171c52fd1df1bd9727ce621f38b5b24f48750"},
     {file = "SQLAlchemy-2.0.28-cp39-cp39-win32.whl", hash = "sha256:33157920b233bc542ce497a81a2e1452e685a11834c5763933b440fedd1d8e2d"},
     {file = "SQLAlchemy-2.0.28-cp39-cp39-win_amd64.whl", hash = "sha256:2f60843068e432311c886c5f03c4664acaef507cf716f6c60d5fde7265be9d7b"},
@@ -10099,9 +10074,9 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 
 [extras]
 cli = ["typer"]
-extended-testing = ["aerospike-vector-search", "aiosqlite", "aleph-alpha-client", "anthropic", "arxiv", "assemblyai", "atlassian-python-api", "azure-ai-documentintelligence", "azure-identity", "azure-search-documents", "beautifulsoup4", "bibtexparser", "cassio", "chardet", "cloudpickle", "cloudpickle", "cohere", "databricks-vectorsearch", "datasets", "dgml-utils", "elasticsearch", "esprima", "faiss-cpu", "feedparser", "fireworks-ai", "friendli-client", "geopandas", "gitpython", "google-cloud-documentai", "gql", "gradientai", "hdbcli", "hologres-vector", "html2text", "httpx", "httpx-sse", "javelin-sdk", "jinja2", "jq", "jsonschema", "lxml", "markdownify", "motor", "msal", "mwparserfromhell", "mwxml", "newspaper3k", "numexpr", "nvidia-riva-client", "oci", "openai", "openapi-pydantic", "oracle-ads", "oracledb", "pandas", "pdfminer-six", "pgvector", "praw", "premai", "psychicapi", "py-trello", "pyjwt", "pymupdf", "pypdf", "pypdfium2", "pyspark", "rank-bm25", "rapidfuzz", "rapidocr-onnxruntime", "rdflib", "requests-toolbelt", "rspace_client", "scikit-learn", "sqlite-vss", "streamlit", "sympy", "telethon", "tidb-vector", "timescale-vector", "tqdm", "tree-sitter", "tree-sitter-languages", "upstash-redis", "vdms", "xata", "xmltodict"]
+extended-testing = ["aiosqlite", "aleph-alpha-client", "anthropic", "arxiv", "assemblyai", "atlassian-python-api", "azure-ai-documentintelligence", "azure-identity", "azure-search-documents", "beautifulsoup4", "bibtexparser", "cassio", "chardet", "cloudpathlib", "cloudpickle", "cloudpickle", "cohere", "databricks-vectorsearch", "datasets", "dgml-utils", "elasticsearch", "esprima", "faiss-cpu", "feedparser", "fireworks-ai", "friendli-client", "geopandas", "gitpython", "google-cloud-documentai", "gql", "gradientai", "hdbcli", "hologres-vector", "html2text", "httpx", "httpx-sse", "javelin-sdk", "jinja2", "jq", "jsonschema", "lxml", "markdownify", "motor", "msal", "mwparserfromhell", "mwxml", "newspaper3k", "numexpr", "nvidia-riva-client", "oci", "openai", "openapi-pydantic", "oracle-ads", "oracledb", "pandas", "pdfminer-six", "pgvector", "praw", "premai", "psychicapi", "py-trello", "pyjwt", "pymupdf", "pypdf", "pypdfium2", "pyspark", "rank-bm25", "rapidfuzz", "rapidocr-onnxruntime", "rdflib", "requests-toolbelt", "rspace_client", "scikit-learn", "sqlite-vss", "streamlit", "sympy", "telethon", "tidb-vector", "timescale-vector", "tqdm", "tree-sitter", "tree-sitter-languages", "upstash-redis", "vdms", "xata", "xmltodict"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "6fbb50e2a8146f8fc2590c8de1a194c7bbc7dd2cfd3d2fd090247aadc01e63f1"
+content-hash = "1a30f88ba6352cfd5af8d3b7b6418ec01bad42c73e6096b1a3ccef06cb36709b"
diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml
index 64c50283543..d1e25c70e99 100644
--- a/libs/community/pyproject.toml
+++ b/libs/community/pyproject.toml
@@ -104,7 +104,8 @@ vdms = {version = "^0.0.20", optional = true}
 httpx-sse = {version = "^0.4.0", optional = true}
 pyjwt = {version = "^2.8.0", optional = true}
 oracledb = {version = "^2.2.0", optional = true}
-aerospike-vector-search = {version = "^0.6.1", optional = true}
+cloudpathlib = { version = "^0.18", optional = true }
+
 
 [tool.poetry.group.test]
 optional = true
@@ -202,7 +203,6 @@ cli = ["typer"]
 # Please use new-line on formatting to make it easier to add new packages without
 # merge-conflicts
 extended_testing = [
- "aerospike-vector-search",
  "aleph-alpha-client",
  "aiosqlite",
  "assemblyai",
@@ -267,6 +267,7 @@ extended_testing = [
  "praw",
  "databricks-vectorsearch",
  "cloudpickle",
+ "cloudpathlib",
  "dgml-utils",
  "cohere",
  "tree-sitter",
@@ -287,7 +288,7 @@ extended_testing = [
  "vdms",
  "httpx-sse",
  "pyjwt",
- "oracledb"
+ "oracledb",
 ]
 
 [tool.ruff]
diff --git a/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_cloud_blob_loader.py b/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_cloud_blob_loader.py
new file mode 100644
index 00000000000..53ad0da98b7
--- /dev/null
+++ b/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_cloud_blob_loader.py
@@ -0,0 +1,166 @@
+"""Verify that file system blob loader works as expected."""
+import os
+import tempfile
+from typing import Generator
+from urllib.parse import urlparse
+
+import pytest
+
+from langchain_community.document_loaders.blob_loaders import CloudBlobLoader
+
+
+@pytest.fixture
+def toy_dir() -> Generator[str, None, None]:
+    """Yield a pre-populated directory to test the blob loader."""
+    with tempfile.TemporaryDirectory() as temp_dir:
+        # Create test.txt
+        with open(os.path.join(temp_dir, "test.txt"), "w") as test_txt:
+            test_txt.write("This is a test.txt file.")
+
+        # Create test.html
+        with open(os.path.join(temp_dir, "test.html"), "w") as test_html:
+            test_html.write(
+                "<html><body><h1>This is a test.html file.</h1></body></html>"
+            )
+
+        # Create .hidden_file
+        with open(os.path.join(temp_dir, ".hidden_file"), "w") as hidden_file:
+            hidden_file.write("This is a hidden file.")
+
+        # Create some_dir/nested_file.txt
+        some_dir = os.path.join(temp_dir, "some_dir")
+        os.makedirs(some_dir)
+        with open(os.path.join(some_dir, "nested_file.txt"), "w") as nested_file:
+            nested_file.write("This is a nested_file.txt file.")
+
+        # Create some_dir/other_dir/more_nested.txt
+        other_dir = os.path.join(some_dir, "other_dir")
+        os.makedirs(other_dir)
+        with open(os.path.join(other_dir, "more_nested.txt"), "w") as nested_file:
+            nested_file.write("This is a more_nested.txt file.")
+
+        yield f"file://{temp_dir}"
+
+
+# @pytest.fixture
+# @pytest.mark.requires("boto3")
+# def toy_dir() -> str:
+#     return "s3://ppr-langchain-test"
+
+
+_TEST_CASES = [
+    {
+        "glob": "**/[!.]*",
+        "suffixes": None,
+        "exclude": (),
+        "relative_filenames": [
+            "test.html",
+            "test.txt",
+            "some_dir/nested_file.txt",
+            "some_dir/other_dir/more_nested.txt",
+        ],
+    },
+    {
+        "glob": "*",
+        "suffixes": None,
+        "exclude": (),
+        "relative_filenames": ["test.html", "test.txt", ".hidden_file"],
+    },
+    {
+        "glob": "**/*.html",
+        "suffixes": None,
+        "exclude": (),
+        "relative_filenames": ["test.html"],
+    },
+    {
+        "glob": "*/*.txt",
+        "suffixes": None,
+        "exclude": (),
+        "relative_filenames": ["some_dir/nested_file.txt"],
+    },
+    {
+        "glob": "**/*.txt",
+        "suffixes": None,
+        "exclude": (),
+        "relative_filenames": [
+            "test.txt",
+            "some_dir/nested_file.txt",
+            "some_dir/other_dir/more_nested.txt",
+        ],
+    },
+    {
+        "glob": "**/*",
+        "suffixes": [".txt"],
+        "exclude": (),
+        "relative_filenames": [
+            "test.txt",
+            "some_dir/nested_file.txt",
+            "some_dir/other_dir/more_nested.txt",
+        ],
+    },
+    {
+        "glob": "meeeeeeow",
+        "suffixes": None,
+        "exclude": (),
+        "relative_filenames": [],
+    },
+    {
+        "glob": "*",
+        "suffixes": [".html", ".txt"],
+        "exclude": (),
+        "relative_filenames": ["test.html", "test.txt"],
+    },
+    # Using exclude patterns
+    {
+        "glob": "**/*",
+        "suffixes": [".txt"],
+        "exclude": ("some_dir/*",),
+        "relative_filenames": ["test.txt", "some_dir/other_dir/more_nested.txt"],
+    },
+    # Using 2 exclude patterns, one of which is recursive
+    {
+        "glob": "**/*",
+        "suffixes": None,
+        "exclude": ("**/*.txt", ".hidden*"),
+        "relative_filenames": ["test.html"],
+    },
+]
+
+
+@pytest.mark.requires("cloudpathlib")
+@pytest.mark.parametrize("params", _TEST_CASES)
+def test_file_names_exist(toy_dir: str, params: dict) -> None:
+    """Verify that the file names exist."""
+
+    glob_pattern = params["glob"]
+    suffixes = params["suffixes"]
+    exclude = params["exclude"]
+    relative_filenames = params["relative_filenames"]
+
+    loader = CloudBlobLoader(
+        toy_dir, glob=glob_pattern, suffixes=suffixes, exclude=exclude
+    )
+    blobs = list(loader.yield_blobs())
+
+    url_parsed = urlparse(toy_dir)
+    scheme = ""
+    if url_parsed.scheme == "file":
+        scheme = "file://"
+
+    file_names = sorted(f"{scheme}{blob.path}" for blob in blobs)
+
+    expected_filenames = sorted(
+        str(toy_dir + "/" + relative_filename)
+        for relative_filename in relative_filenames
+    )
+
+    assert file_names == expected_filenames
+    assert loader.count_matching_files() == len(relative_filenames)
+
+
+@pytest.mark.requires("cloudpathlib")
+def test_show_progress(toy_dir: str) -> None:
+    """Verify that file system loader works with a progress bar."""
+    loader = CloudBlobLoader(toy_dir)
+    blobs = list(loader.yield_blobs())
+    assert len(blobs) == loader.count_matching_files()
diff --git a/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_public_api.py b/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_public_api.py
index 8dd6f361670..e3f53c0827a 100644
--- a/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_public_api.py
+++ b/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_public_api.py
@@ -6,6 +6,7 @@ def test_public_api() -> None:
     assert sorted(__all__) == [
         "Blob",
         "BlobLoader",
+        "CloudBlobLoader",
         "FileSystemBlobLoader",
         "YoutubeAudioLoader",
     ]
diff --git a/poetry.lock b/poetry.lock
index b727188febd..959bf689f6d 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.6.1 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 = "aiohttp"
@@ -1351,7 +1351,6 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
 files = [
     {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
-    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
 ]
 
 [[package]]
@@ -1694,7 +1693,7 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.1.16"
+version = "0.2.0"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -1705,10 +1704,8 @@ develop = true
 aiohttp = "^3.8.3"
 async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
 dataclasses-json = ">= 0.5.7, < 0.7"
-jsonpatch = "^1.33"
-langchain-community = ">=0.0.32,<0.1"
-langchain-core = "^0.1.42"
-langchain-text-splitters = ">=0.0.1,<0.1"
+langchain-core = "^0.2.0"
+langchain-text-splitters = "^0.2.0"
 langsmith = "^0.1.17"
 numpy = "^1"
 pydantic = ">=1,<3"
@@ -1725,10 +1722,10 @@ cli = ["typer (>=0.9.0,<0.10.0)"]
 cohere = ["cohere (>=4,<6)"]
 docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
 embeddings = ["sentence-transformers (>=2,<3)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<6)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "langchain-openai (>=0.0.2,<0.1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
+extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<6)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "langchain-openai (>=0.1,<0.2)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
 javascript = ["esprima (>=4.0.1,<5.0.0)"]
 llms = ["clarifai (>=9.1.0)", "cohere (>=4,<6)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
-openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
+openai = ["openai (<2)", "tiktoken (>=0.7,<1.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
@@ -1738,7 +1735,7 @@ url = "libs/langchain"
 
 [[package]]
 name = "langchain-community"
-version = "0.0.35"
+version = "0.2.0"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -1748,7 +1745,8 @@ develop = true
 [package.dependencies]
 aiohttp = "^3.8.3"
 dataclasses-json = ">= 0.5.7, < 0.7"
-langchain-core = "^0.1.47"
+langchain = "^0.2.0"
+langchain-core = "^0.2.0"
 langsmith = "^0.1.0"
 numpy = "^1"
 PyYAML = ">=5.3"
@@ -1758,7 +1756,7 @@ tenacity = "^8.1.0"
 
 [package.extras]
 cli = ["typer (>=0.9.0,<0.10.0)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-search-documents (==11.4.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.6,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpickle (>=2.0.0)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
+extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-search-documents (==11.4.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.6,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpathlib (>=0.18,<0.19)", "cloudpickle (>=2.0.0)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "oracledb (>=2.2.0,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
 
 [package.source]
 type = "directory"
@@ -1766,7 +1764,7 @@ url = "libs/community"
 
 [[package]]
 name = "langchain-core"
-version = "0.1.47"
+version = "0.2.0"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -1790,7 +1788,7 @@ url = "libs/core"
 
 [[package]]
 name = "langchain-experimental"
-version = "0.0.57"
+version = "0.0.59"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -1798,8 +1796,8 @@ files = []
 develop = true
 
 [package.dependencies]
-langchain = "^0.1.15"
-langchain-core = "^0.1.41"
+langchain-community = "^0.2"
+langchain-core = "^0.2"
 
 [package.extras]
 extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "pandas (>=2.0.1,<3.0.0)", "presidio-analyzer (>=2.2.352,<3.0.0)", "presidio-anonymizer (>=2.2.352,<3.0.0)", "sentence-transformers (>=2,<3)", "tabulate (>=0.9.0,<0.10.0)", "vowpal-wabbit-next (==0.6.0)"]
@@ -1810,7 +1808,7 @@ url = "libs/experimental"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.4"
+version = "0.1.7"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -1818,9 +1816,9 @@ files = []
 develop = true
 
 [package.dependencies]
-langchain-core = "^0.1.46"
-openai = "^1.10.0"
-tiktoken = ">=0.5.2,<1"
+langchain-core = ">=0.2.0,<0.3"
+openai = "^1.24.0"
+tiktoken = ">=0.7,<1"
 
 [package.source]
 type = "directory"
@@ -1828,7 +1826,7 @@ url = "libs/partners/openai"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.0.1"
+version = "0.2.0"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -1836,7 +1834,7 @@ files = []
 develop = true
 
 [package.dependencies]
-langchain-core = "^0.1.28"
+langchain-core = "^0.2.0"
 
 [package.extras]
 extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
@@ -2475,13 +2473,13 @@ testing = ["matplotlib", "pytest", "pytest-cov"]
 
 [[package]]
 name = "openai"
-version = "1.16.1"
+version = "1.30.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.16.1-py3-none-any.whl", hash = "sha256:77ef3db6110071f7154859e234250fb945a36554207a30a4491092eadb73fcb5"},
-    {file = "openai-1.16.1.tar.gz", hash = "sha256:58922c785d167458b46e3c76e7b1bc2306f313ee9b71791e84cbf590abe160f2"},
+    {file = "openai-1.30.1-py3-none-any.whl", hash = "sha256:c9fb3c3545c118bbce8deb824397b9433a66d0d0ede6a96f7009c95b76de4a46"},
+    {file = "openai-1.30.1.tar.gz", hash = "sha256:4f85190e577cba0b066e1950b8eb9b11d25bc7ebcc43a86b326ce1bfa564ec74"},
 ]
 
 [package.dependencies]
@@ -3003,7 +3001,6 @@ files = [
     {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
     {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
     {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
-    {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
     {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
     {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
     {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
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 [package.dependencies]