diff --git a/libs/partners/qdrant/Makefile b/libs/partners/qdrant/Makefile
index b055a885ba5..6edee7a9eea 100644
--- a/libs/partners/qdrant/Makefile
+++ b/libs/partners/qdrant/Makefile
@@ -53,6 +53,7 @@ help:
 	@echo 'check_imports				- check imports'
 	@echo 'format                       - run code formatters'
 	@echo 'lint                         - run linters'
+	@echo 'lint_tests				   	- run linters on tests'
 	@echo 'test                         - run unit tests'
 	@echo 'tests                        - run unit tests'
 	@echo 'test TEST_FILE=<test_file>   - run all tests in file'
diff --git a/libs/partners/qdrant/langchain_qdrant/__init__.py b/libs/partners/qdrant/langchain_qdrant/__init__.py
index 4c3277bce5e..74ac0ff84c1 100644
--- a/libs/partners/qdrant/langchain_qdrant/__init__.py
+++ b/libs/partners/qdrant/langchain_qdrant/__init__.py
@@ -1,3 +1,5 @@
+from langchain_qdrant.fastembed_sparse import FastEmbedSparse
+from langchain_qdrant.sparse_embeddings import SparseEmbeddings, SparseVector
 from langchain_qdrant.vectorstores import Qdrant
 
-__all__ = ["Qdrant"]
+__all__ = ["Qdrant", "SparseEmbeddings", "SparseVector", "FastEmbedSparse"]
diff --git a/libs/partners/qdrant/langchain_qdrant/fastembed_sparse.py b/libs/partners/qdrant/langchain_qdrant/fastembed_sparse.py
new file mode 100644
index 00000000000..bd612916d89
--- /dev/null
+++ b/libs/partners/qdrant/langchain_qdrant/fastembed_sparse.py
@@ -0,0 +1,73 @@
+from typing import Any, List, Optional, Sequence
+
+from langchain_qdrant.sparse_embeddings import SparseEmbeddings, SparseVector
+
+
+class FastEmbedSparse(SparseEmbeddings):
+    """An interface for sparse embedding models to use with Qdrant."""
+
+    def __init__(
+        self,
+        model_name: str = "Qdrant/bm25",
+        batch_size: int = 256,
+        cache_dir: Optional[str] = None,
+        threads: Optional[int] = None,
+        providers: Optional[Sequence[Any]] = None,
+        parallel: Optional[int] = None,
+        **kwargs: Any,
+    ) -> None:
+        """
+        Sparse encoder implementation using FastEmbed - https://qdrant.github.io/fastembed/
+        For a list of available models, see https://qdrant.github.io/fastembed/examples/Supported_Models/
+
+        Args:
+            model_name (str): The name of the model to use. Defaults to `"Qdrant/bm25"`.
+            batch_size (int): Batch size for encoding. Defaults to 256.
+            cache_dir (str, optional): The path to the model cache directory.\
+                                       Can also be set using the\
+                                       `FASTEMBED_CACHE_PATH` env variable.
+            threads (int, optional): The number of threads onnxruntime session can use.
+            providers (Sequence[Any], optional): List of ONNX execution providers.\
+            parallel (int, optional): If `>1`, data-parallel encoding will be used, r\
+                                      Recommended for encoding of large datasets.\
+                                      If `0`, use all available cores.\
+                                      If `None`, don't use data-parallel processing,\
+                                      use default onnxruntime threading instead.\
+                                      Defaults to None.
+            **kwargs: Additional options to pass to fastembed.SparseTextEmbedding
+        Raises:
+            ValueError: If the model_name is not supported in SparseTextEmbedding.
+        """
+        try:
+            from fastembed import SparseTextEmbedding  # type: ignore
+        except ImportError:
+            raise ValueError(
+                "The 'fastembed' package is not installed. "
+                "Please install it with "
+                "`pip install fastembed` or `pip install fastembed-gpu`."
+            )
+        self._batch_size = batch_size
+        self._parallel = parallel
+        self._model = SparseTextEmbedding(
+            model_name=model_name,
+            cache_dir=cache_dir,
+            threads=threads,
+            providers=providers,
+            **kwargs,
+        )
+
+    def embed_documents(self, texts: List[str]) -> List[SparseVector]:
+        results = self._model.embed(
+            texts, batch_size=self._batch_size, parallel=self._parallel
+        )
+        return [
+            SparseVector(indices=result.indices.tolist(), values=result.values.tolist())
+            for result in results
+        ]
+
+    def embed_query(self, text: str) -> SparseVector:
+        result = next(self._model.query_embed(text))
+
+        return SparseVector(
+            indices=result.indices.tolist(), values=result.values.tolist()
+        )
diff --git a/libs/partners/qdrant/langchain_qdrant/sparse_embeddings.py b/libs/partners/qdrant/langchain_qdrant/sparse_embeddings.py
new file mode 100644
index 00000000000..49551403609
--- /dev/null
+++ b/libs/partners/qdrant/langchain_qdrant/sparse_embeddings.py
@@ -0,0 +1,36 @@
+from abc import ABC, abstractmethod
+from typing import List
+
+from langchain_core.runnables.config import run_in_executor
+from pydantic import BaseModel, Field
+
+
+class SparseVector(BaseModel, extra="forbid"):
+    """
+    Sparse vector structure
+    """
+
+    indices: List[int] = Field(..., description="indices must be unique")
+    values: List[float] = Field(
+        ..., description="values and indices must be the same length"
+    )
+
+
+class SparseEmbeddings(ABC):
+    """An interface for sparse embedding models to use with Qdrant."""
+
+    @abstractmethod
+    def embed_documents(self, texts: List[str]) -> List[SparseVector]:
+        """Embed search docs."""
+
+    @abstractmethod
+    def embed_query(self, text: str) -> SparseVector:
+        """Embed query text."""
+
+    async def aembed_documents(self, texts: List[str]) -> List[SparseVector]:
+        """Asynchronous Embed search docs."""
+        return await run_in_executor(None, self.embed_documents, texts)
+
+    async def aembed_query(self, text: str) -> SparseVector:
+        """Asynchronous Embed query text."""
+        return await run_in_executor(None, self.embed_query, text)
diff --git a/libs/partners/qdrant/poetry.lock b/libs/partners/qdrant/poetry.lock
index e1f853175f1..11550f9c97c 100644
--- a/libs/partners/qdrant/poetry.lock
+++ b/libs/partners/qdrant/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 = "annotated-types"
@@ -174,6 +174,23 @@ 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 = true
+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 = "exceptiongroup"
 version = "1.2.1"
@@ -188,6 +205,61 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "fastembed"
+version = "0.3.1"
+description = "Fast, light, accurate library built for retrieval embedding generation"
+optional = true
+python-versions = "<3.13,>=3.8.0"
+files = [
+    {file = "fastembed-0.3.1-py3-none-any.whl", hash = "sha256:5e9fecf6031a010eff75c02986f556d0635102210c0b1765e784cfca07df8975"},
+    {file = "fastembed-0.3.1.tar.gz", hash = "sha256:01a52c5c9cdfe2504dfa56b3c1b032d1ad88d621de144fc9a571371a79df6457"},
+]
+
+[package.dependencies]
+huggingface-hub = ">=0.20,<1.0"
+loguru = ">=0.7.2,<0.8.0"
+mmh3 = ">=4.0,<5.0"
+numpy = [
+    {version = ">=1.21,<2", markers = "python_version < \"3.12\""},
+    {version = ">=1.26,<2", markers = "python_version >= \"3.12\""},
+]
+onnx = ">=1.15.0,<2.0.0"
+onnxruntime = ">=1.17.0,<2.0.0"
+pillow = ">=10.3.0,<11.0.0"
+PyStemmer = ">=2.2.0,<3.0.0"
+requests = ">=2.31,<3.0"
+snowballstemmer = ">=2.2.0,<3.0.0"
+tokenizers = ">=0.15,<1.0"
+tqdm = ">=4.66,<5.0"
+
+[[package]]
+name = "filelock"
+version = "3.15.4"
+description = "A platform independent file lock."
+optional = true
+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"},
+]
+
+[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 = true
+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"
@@ -202,6 +274,45 @@ files = [
 [package.dependencies]
 python-dateutil = ">=2.7"
 
+[[package]]
+name = "fsspec"
+version = "2024.6.1"
+description = "File-system specification"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "fsspec-2024.6.1-py3-none-any.whl", hash = "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e"},
+    {file = "fsspec-2024.6.1.tar.gz", hash = "sha256:fad7d7e209dd4c1208e3bbfda706620e0da5142bebbd9c384afb95b07e798e49"},
+]
+
+[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 = "1.63.0"
@@ -403,6 +514,54 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 
+[[package]]
+name = "huggingface-hub"
+version = "0.23.4"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = true
+python-versions = ">=3.8.0"
+files = [
+    {file = "huggingface_hub-0.23.4-py3-none-any.whl", hash = "sha256:3a0b957aa87150addf0cc7bd71b4d954b78e749850e1e7fb29ebbd2db64ca037"},
+    {file = "huggingface_hub-0.23.4.tar.gz", hash = "sha256:35d99016433900e44ae7efe1c209164a5a81dbbcd53a52f99c281dcd7ce22431"},
+]
+
+[package.dependencies]
+filelock = "*"
+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", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "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", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "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 (>=0.3.0)"]
+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", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors", "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 = true
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
+    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
+]
+
+[package.dependencies]
+pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
+
 [[package]]
 name = "hyperframe"
 version = "6.0.1"
@@ -501,6 +660,133 @@ orjson = ">=3.9.14,<4.0.0"
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
+[[package]]
+name = "loguru"
+version = "0.7.2"
+description = "Python logging made (stupidly) simple"
+optional = true
+python-versions = ">=3.5"
+files = [
+    {file = "loguru-0.7.2-py3-none-any.whl", hash = "sha256:003d71e3d3ed35f0f8984898359d65b79e5b21943f78af86aa5491210429b8eb"},
+    {file = "loguru-0.7.2.tar.gz", hash = "sha256:e671a53522515f34fd406340ee968cb9ecafbc4b36c679da03c18fd8d0bd51ac"},
+]
+
+[package.dependencies]
+colorama = {version = ">=0.3.4", markers = "sys_platform == \"win32\""}
+win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
+
+[package.extras]
+dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptiongroup (==1.1.3)", "freezegun (==1.1.0)", "freezegun (==1.2.2)", "mypy (==v0.910)", "mypy (==v0.971)", "mypy (==v1.4.1)", "mypy (==v1.5.1)", "pre-commit (==3.4.0)", "pytest (==6.1.2)", "pytest (==7.4.0)", "pytest-cov (==2.12.1)", "pytest-cov (==4.1.0)", "pytest-mypy-plugins (==1.9.3)", "pytest-mypy-plugins (==3.0.0)", "sphinx-autobuild (==2021.3.14)", "sphinx-rtd-theme (==1.3.0)", "tox (==3.27.1)", "tox (==4.11.0)"]
+
+[[package]]
+name = "mmh3"
+version = "4.1.0"
+description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
+optional = true
+python-versions = "*"
+files = [
+    {file = "mmh3-4.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be5ac76a8b0cd8095784e51e4c1c9c318c19edcd1709a06eb14979c8d850c31a"},
+    {file = "mmh3-4.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:98a49121afdfab67cd80e912b36404139d7deceb6773a83620137aaa0da5714c"},
+    {file = "mmh3-4.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5259ac0535874366e7d1a5423ef746e0d36a9e3c14509ce6511614bdc5a7ef5b"},
+    {file = "mmh3-4.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5950827ca0453a2be357696da509ab39646044e3fa15cad364eb65d78797437"},
+    {file = "mmh3-4.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1dd0f652ae99585b9dd26de458e5f08571522f0402155809fd1dc8852a613a39"},
+    {file = "mmh3-4.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99d25548070942fab1e4a6f04d1626d67e66d0b81ed6571ecfca511f3edf07e6"},
+    {file = "mmh3-4.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:53db8d9bad3cb66c8f35cbc894f336273f63489ce4ac416634932e3cbe79eb5b"},
+    {file = "mmh3-4.1.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75da0f615eb55295a437264cc0b736753f830b09d102aa4c2a7d719bc445ec05"},
+    {file = "mmh3-4.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b926b07fd678ea84b3a2afc1fa22ce50aeb627839c44382f3d0291e945621e1a"},
+    {file = "mmh3-4.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c5b053334f9b0af8559d6da9dc72cef0a65b325ebb3e630c680012323c950bb6"},
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+fpx = ["olefile"]
+mic = ["olefile"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
+
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 version = "1.5.0"
@@ -871,6 +1338,27 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
+[[package]]
+name = "pyreadline3"
+version = "3.4.1"
+description = "A python implementation of GNU readline."
+optional = true
+python-versions = "*"
+files = [
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+
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+version = "2.2.0.1"
+description = "Snowball stemming algorithms, for information retrieval"
+optional = true
+python-versions = "*"
+files = [
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+]
+
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 version = "7.4.4"
@@ -1042,13 +1530,13 @@ files = [
 
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-version = "1.9.1"
+version = "1.10.0"
 description = "Client library for the Qdrant vector search engine"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -1064,7 +1552,8 @@ pydantic = ">=1.10.8"
 urllib3 = ">=1.26.14,<3"
 
 [package.extras]
-fastembed = ["fastembed (==0.2.6)"]
+fastembed = ["fastembed (==0.2.7)"]
+fastembed-gpu = ["fastembed-gpu (==0.2.7)"]
 
 [[package]]
 name = "requests"
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+[[package]]
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+description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
+optional = true
+python-versions = "*"
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+
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+description = "Computer algebra system (CAS) in Python"
+optional = true
+python-versions = ">=3.8"
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+
 [[package]]
 name = "syrupy"
 version = "4.6.1"
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 test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
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+    {file = "tokenizers-0.19.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f8a9c828277133af13f3859d1b6bf1c3cb6e9e1637df0e45312e6b7c2e622b1f"},
+    {file = "tokenizers-0.19.1.tar.gz", hash = "sha256:ee59e6680ed0fdbe6b724cf38bd70400a0c1dd623b07ac729087270caeac88e3"},
+]
+
+[package.dependencies]
+huggingface-hub = ">=0.16.4,<1.0"
+
+[package.extras]
+dev = ["tokenizers[testing]"]
+docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -1192,6 +1823,26 @@ files = [
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
 ]
 
+[[package]]
+name = "tqdm"
+version = "4.66.4"
+description = "Fast, Extensible Progress Meter"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
+    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
+telegram = ["requests"]
+
 [[package]]
 name = "typing-extensions"
 version = "4.11.0"
@@ -1261,7 +1912,24 @@ files = [
 [package.extras]
 watchmedo = ["PyYAML (>=3.10)"]
 
+[[package]]
+name = "win32-setctime"
+version = "1.1.0"
+description = "A small Python utility to set file creation time on Windows"
+optional = true
+python-versions = ">=3.5"
+files = [
+    {file = "win32_setctime-1.1.0-py3-none-any.whl", hash = "sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad"},
+    {file = "win32_setctime-1.1.0.tar.gz", hash = "sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2"},
+]
+
+[package.extras]
+dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
+
+[extras]
+fastembed = ["fastembed"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "c743f55157d3b1da71b393e40d291dc806f4f3113a519a8a6b888e9ab779295b"
+content-hash = "192e50ec7768ff659cfe7d2bbc75497dbeba3ee9f1e245d12f2eb3cdf7fe07d9"
diff --git a/libs/partners/qdrant/pyproject.toml b/libs/partners/qdrant/pyproject.toml
index c19b08d50b2..1db40f3e8c8 100644
--- a/libs/partners/qdrant/pyproject.toml
+++ b/libs/partners/qdrant/pyproject.toml
@@ -24,6 +24,11 @@ disallow_untyped_defs = true
 python = ">=3.8.1,<4.0"
 langchain-core = ">=0.1.52,<0.3"
 qdrant-client = "^1.9.0"
+pydantic = "^2.7.4"
+fastembed = { version = "^0.3.1", python = ">=3.8.1,<3.13", optional = true}
+
+[tool.poetry.extras]
+fastembed = [ "fastembed"]
 
 [tool.coverage.run]
 omit = [ "tests/*",]
diff --git a/libs/partners/qdrant/tests/integration_tests/fastembed/test_fastembed_sparse.py b/libs/partners/qdrant/tests/integration_tests/fastembed/test_fastembed_sparse.py
new file mode 100644
index 00000000000..313457b0202
--- /dev/null
+++ b/libs/partners/qdrant/tests/integration_tests/fastembed/test_fastembed_sparse.py
@@ -0,0 +1,35 @@
+import numpy as np
+import pytest
+
+from langchain_qdrant import FastEmbedSparse
+
+
+@pytest.mark.parametrize(
+    "model_name", ["Qdrant/bm25", "Qdrant/bm42-all-minilm-l6-v2-attentions"]
+)
+def test_attention_embeddings(model_name: str) -> None:
+    model = FastEmbedSparse(model_name=model_name)
+
+    query_output = model.embed_query("Stay, steady and sprint.")
+
+    assert len(query_output.indices) == len(query_output.values)
+    assert np.allclose(query_output.values, np.ones(len(query_output.values)))
+
+    texts = [
+        "The journey of a thousand miles begins with a single step.",
+        "Be yourself in a world that is constantly trying to make you something else",
+        "In the end, we only regret the chances we didn't take.",
+        "Every moment is a fresh beginning.",
+        "Not all those who wander are lost.",
+        "Do not go where the path may lead, go elsewhere and leave a trail.",
+        "Life is what happens when you're busy making other plans.",
+        "The only limit to our realization of tomorrow is our doubts of today.",
+    ]
+
+    output = model.embed_documents(texts)
+
+    assert len(output) == len(texts)
+
+    for result in output:
+        assert len(result.indices) == len(result.values)
+        assert len(result.indices) > 0
diff --git a/libs/partners/qdrant/tests/unit_tests/test_imports.py b/libs/partners/qdrant/tests/unit_tests/test_imports.py
index 6e82a2b1a28..41b18dd8119 100644
--- a/libs/partners/qdrant/tests/unit_tests/test_imports.py
+++ b/libs/partners/qdrant/tests/unit_tests/test_imports.py
@@ -1,6 +1,6 @@
 from langchain_qdrant import __all__
 
-EXPECTED_ALL = ["Qdrant"]
+EXPECTED_ALL = ["Qdrant", "SparseEmbeddings", "SparseVector", "FastEmbedSparse"]
 
 
 def test_all_imports() -> None: