diff --git a/docs/modules/utils/combine_docs_examples/vectorstores.ipynb b/docs/modules/utils/combine_docs_examples/vectorstores.ipynb
index 81097736..483a68e6 100644
--- a/docs/modules/utils/combine_docs_examples/vectorstores.ipynb
+++ b/docs/modules/utils/combine_docs_examples/vectorstores.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 1,
    "id": "965eecee",
    "metadata": {
     "pycharm": {
@@ -27,12 +27,12 @@
    "source": [
     "from langchain.embeddings.openai import OpenAIEmbeddings\n",
     "from langchain.text_splitter import CharacterTextSplitter\n",
-    "from langchain.vectorstores import ElasticVectorSearch, Pinecone, Weaviate, FAISS"
+    "from langchain.vectorstores import ElasticVectorSearch, Pinecone, Weaviate, FAISS, Qdrant"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 2,
    "id": "68481687",
    "metadata": {
     "pycharm": {
@@ -514,10 +514,62 @@
     "docs[0]"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "9b852079",
+   "metadata": {},
+   "source": [
+    "## Qdrant"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e5ec70ce",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "host = \"<---host name here --->\"\n",
+    "api_key = \"<---api key here--->\"\n",
+    "qdrant = Qdrant.from_texts(texts, embeddings, host=host, prefer_grpc=True, api_key=api_key)\n",
+    "query = \"What did the president say about Ketanji Brown Jackson\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "9805ad1f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "docs = qdrant.similarity_search(query)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "bd097a0e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Document(page_content='In state after state, new laws have been passed, not only to suppress the vote, but to subvert entire elections. \\n\\nWe cannot let this happen. \\n\\nTonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \\n\\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service. \\n\\nOne of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court. \\n\\nAnd I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.', lookup_str='', metadata={}, lookup_index=0)"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "docs[0]"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e7d74bd2",
+   "id": "8ffd66e2",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/langchain/vectorstores/__init__.py b/langchain/vectorstores/__init__.py
index c8dd6e9c..8616b574 100644
--- a/langchain/vectorstores/__init__.py
+++ b/langchain/vectorstores/__init__.py
@@ -3,6 +3,14 @@ from langchain.vectorstores.base import VectorStore
 from langchain.vectorstores.elastic_vector_search import ElasticVectorSearch
 from langchain.vectorstores.faiss import FAISS
 from langchain.vectorstores.pinecone import Pinecone
+from langchain.vectorstores.qdrant import Qdrant
 from langchain.vectorstores.weaviate import Weaviate
 
-__all__ = ["ElasticVectorSearch", "FAISS", "VectorStore", "Pinecone", "Weaviate"]
+__all__ = [
+    "ElasticVectorSearch",
+    "FAISS",
+    "VectorStore",
+    "Pinecone",
+    "Weaviate",
+    "Qdrant",
+]
diff --git a/langchain/vectorstores/qdrant.py b/langchain/vectorstores/qdrant.py
new file mode 100644
index 00000000..77f5b0cf
--- /dev/null
+++ b/langchain/vectorstores/qdrant.py
@@ -0,0 +1,225 @@
+"""Wrapper around Qdrant vector database."""
+import uuid
+from operator import itemgetter
+from typing import Any, Callable, Iterable, List, Optional, Tuple
+
+from langchain.docstore.document import Document
+from langchain.embeddings.base import Embeddings
+from langchain.utils import get_from_dict_or_env
+from langchain.vectorstores import VectorStore
+from langchain.vectorstores.utils import maximal_marginal_relevance
+
+
+class Qdrant(VectorStore):
+    """Wrapper around Qdrant vector database.
+
+    To use you should have the ``qdrant-client`` package installed.
+
+    Example:
+        .. code-block:: python
+
+            from langchain import Qdrant
+
+            client = QdrantClient()
+            collection_name = "MyCollection"
+            qdrant = Qdrant(client, collection_name, embedding_function)
+    """
+
+    def __init__(self, client: Any, collection_name: str, embedding_function: Callable):
+        """Initialize with necessary components."""
+        try:
+            import qdrant_client
+        except ImportError:
+            raise ValueError(
+                "Could not import qdrant-client python package. "
+                "Please it install it with `pip install qdrant-client`."
+            )
+
+        if not isinstance(client, qdrant_client.QdrantClient):
+            raise ValueError(
+                f"client should be an instance of qdrant_client.QdrantClient, "
+                f"got {type(client)}"
+            )
+
+        self.client: qdrant_client.QdrantClient = client
+        self.collection_name = collection_name
+        self.embedding_function = embedding_function
+
+    def add_texts(
+        self, texts: Iterable[str], metadatas: Optional[List[dict]] = None
+    ) -> List[str]:
+        """Run more texts through the embeddings and add to the vectorstore.
+
+        Args:
+            texts: Iterable of strings to add to the vectorstore.
+            metadatas: Optional list of metadatas associated with the texts.
+
+        Returns:
+            List of ids from adding the texts into the vectorstore.
+        """
+        from qdrant_client.http import models as rest
+
+        ids = [uuid.uuid4().hex for _ in texts]
+        self.client.upsert(
+            collection_name=self.collection_name,
+            points=rest.Batch(
+                ids=ids,
+                vectors=[self.embedding_function(text) for text in texts],
+                payloads=self._build_payloads(texts, metadatas),
+            ),
+        )
+
+        return ids
+
+    def similarity_search(
+        self, query: str, k: int = 4, **kwargs: Any
+    ) -> List[Document]:
+        """Return docs most similar to query.
+
+        Args:
+            query: Text to look up documents similar to.
+            k: Number of Documents to return. Defaults to 4.
+
+        Returns:
+            List of Documents most similar to the query.
+        """
+        results = self.similarity_search_with_score(query, k)
+        return list(map(itemgetter(0), results))
+
+    def similarity_search_with_score(
+        self, query: str, k: int = 4
+    ) -> List[Tuple[Document, float]]:
+        """Return docs most similar to query.
+
+        Args:
+            query: Text to look up documents similar to.
+            k: Number of Documents to return. Defaults to 4.
+
+        Returns:
+            List of Documents most similar to the query and score for each
+        """
+        embedding = self.embedding_function(query)
+        results = self.client.search(
+            collection_name=self.collection_name,
+            query_vector=embedding,
+            with_payload=True,
+            limit=k,
+        )
+        return [
+            (
+                self._document_from_scored_point(result),
+                result.score,
+            )
+            for result in results
+        ]
+
+    def max_marginal_relevance_search(
+        self, query: str, k: int = 4, fetch_k: int = 20
+    ) -> List[Document]:
+        """Return docs selected using the maximal marginal relevance.
+
+        Maximal marginal relevance optimizes for similarity to query AND diversity
+        among selected documents.
+
+        Args:
+            query: Text to look up documents similar to.
+            k: Number of Documents to return. Defaults to 4.
+            fetch_k: Number of Documents to fetch to pass to MMR algorithm.
+
+        Returns:
+            List of Documents selected by maximal marginal relevance.
+        """
+        embedding = self.embedding_function(query)
+        results = self.client.search(
+            collection_name=self.collection_name,
+            query_vector=embedding,
+            with_payload=True,
+            with_vectors=True,
+            limit=k,
+        )
+        embeddings = [result.vector for result in results]
+        mmr_selected = maximal_marginal_relevance(embedding, embeddings, k=k)
+        return [self._document_from_scored_point(results[i]) for i in mmr_selected]
+
+    @classmethod
+    def from_texts(
+        cls,
+        texts: List[str],
+        embedding: Embeddings,
+        metadatas: Optional[List[dict]] = None,
+        **kwargs: Any,
+    ) -> "Qdrant":
+        """Construct Qdrant wrapper from raw documents.
+
+        This is a user friendly interface that:
+            1. Embeds documents.
+            2. Creates an in memory docstore
+            3. Initializes the Qdrant database
+
+        This is intended to be a quick way to get started.
+
+        Example:
+            .. code-block:: python
+
+                from langchain import Qdrant
+                from langchain.embeddings import OpenAIEmbeddings
+                embeddings = OpenAIEmbeddings()
+                qdrant = Qdrant.from_texts(texts, embeddings)
+        """
+        try:
+            import qdrant_client
+        except ImportError:
+            raise ValueError(
+                "Could not import qdrant-client python package. "
+                "Please it install it with `pip install qdrant-client`."
+            )
+
+        from qdrant_client.http import models as rest
+
+        # Just do a single quick embedding to get vector size
+        embeddings = embedding.embed_documents(texts[:1])
+        vector_size = len(embeddings[0])
+
+        qdrant_host = get_from_dict_or_env(kwargs, "host", "QDRANT_HOST")
+        kwargs.pop("host")
+        client = qdrant_client.QdrantClient(host=qdrant_host, **kwargs)
+
+        collection_name = kwargs.get("collection_name", uuid.uuid4().hex)
+        distance_func = kwargs.pop("distance_func", "Cosine").upper()
+        client.recreate_collection(
+            collection_name=collection_name,
+            vectors_config=rest.VectorParams(
+                size=vector_size,
+                distance=rest.Distance[distance_func],
+            ),
+        )
+
+        client.upsert(
+            collection_name=collection_name,
+            points=rest.Batch(
+                ids=[uuid.uuid4().hex for _ in texts],
+                vectors=embeddings,
+                payloads=cls._build_payloads(texts, metadatas),
+            ),
+        )
+
+        return cls(client, collection_name, embedding.embed_query)
+
+    @classmethod
+    def _build_payloads(
+        cls, texts: Iterable[str], metadatas: Optional[List[dict]]
+    ) -> List[dict]:
+        return [
+            {
+                "page_content": text,
+                "metadata": metadatas[i] if metadatas is not None else None,
+            }
+            for i, text in enumerate(texts)
+        ]
+
+    @classmethod
+    def _document_from_scored_point(cls, scored_point: Any) -> Document:
+        return Document(
+            page_content=scored_point.payload.get("page_content"),
+            metadata=scored_point.payload.get("metadata") or {},
+        )
diff --git a/poetry.lock b/poetry.lock
index 7a0fc260..d69b36d7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,21 +2,21 @@
 
 [[package]]
 name = "alabaster"
-version = "0.7.12"
+version = "0.7.13"
 description = "A configurable sidebar-enabled Sphinx theme"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 files = [
-    {file = "alabaster-0.7.12-py2.py3-none-any.whl", hash = "sha256:446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359"},
-    {file = "alabaster-0.7.12.tar.gz", hash = "sha256:a661d72d58e6ea8a57f7a86e37d86716863ee5e92788398526d58b26a4e4dc02"},
+    {file = "alabaster-0.7.13-py3-none-any.whl", hash = "sha256:1ee19aca801bbabb5ba3f5f258e4422dfa86f82f3e9cefb0859b283cdd7f62a3"},
+    {file = "alabaster-0.7.13.tar.gz", hash = "sha256:a27a4a084d5e690e16e01e03ad2b2e552c61a65469419b907243193de1a84ae2"},
 ]
 
 [[package]]
 name = "anyio"
 version = "3.6.2"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.2"
 files = [
@@ -478,19 +478,102 @@ pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
-version = "2.1.1"
+version = "3.0.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
-python-versions = ">=3.6.0"
+python-versions = "*"
 files = [
-    {file = "charset-normalizer-2.1.1.tar.gz", hash = "sha256:5a3d016c7c547f69d6f81fb0db9449ce888b418b5b9952cc5e6e66843e9dd845"},
-    {file = "charset_normalizer-2.1.1-py3-none-any.whl", hash = "sha256:83e9a75d1911279afd89352c68b45348559d1fc0506b054b346651b5e7fee29f"},
+    {file = "charset-normalizer-3.0.1.tar.gz", hash = "sha256:ebea339af930f8ca5d7a699b921106c6e29c617fe9606fa7baa043c1cdae326f"},
+    {file = "charset_normalizer-3.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88600c72ef7587fe1708fd242b385b6ed4b8904976d5da0893e31df8b3480cb6"},
+    {file = "charset_normalizer-3.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c75ffc45f25324e68ab238cb4b5c0a38cd1c3d7f1fb1f72b5541de469e2247db"},
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-[package.extras]
-unicode-backport = ["unicodedata2"]
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 ]
 
 [package.dependencies]
@@ -624,7 +707,7 @@ name = "cryptography"
 version = "39.0.0"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 category = "main"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
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@@ -770,22 +853,23 @@ graph = ["objgraph (>=1.7.2)"]
 
 [[package]]
 name = "dnspython"
-version = "2.2.1"
+version = "2.3.0"
 description = "DNS toolkit"
 category = "main"
 optional = false
-python-versions = ">=3.6,<4.0"
+python-versions = ">=3.7,<4.0"
 files = [
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 [package.extras]
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-dnssec = ["cryptography (>=2.6,<37.0)"]
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+dnssec = ["cryptography (>=2.6,<40.0)"]
+doh = ["h2 (>=4.1.0)", "httpx (>=0.21.1)", "requests (>=2.23.0,<3.0.0)", "requests-toolbelt (>=0.9.1,<0.11.0)"]
+doq = ["aioquic (>=0.9.20)"]
 idna = ["idna (>=2.1,<4.0)"]
-trio = ["trio (>=0.14,<0.20)"]
+trio = ["trio (>=0.14,<0.23)"]
 wmi = ["wmi (>=1.5.1,<2.0.0)"]
 
 [[package]]
@@ -898,14 +982,14 @@ develop = ["aiohttp", "mock", "pytest", "pytest-asyncio", "pytest-cov", "pytest-
 
 [[package]]
 name = "elasticsearch"
-version = "8.5.3"
+version = "8.6.0"
 description = "Python client for Elasticsearch"
 category = "main"
 optional = true
 python-versions = ">=3.6, <4"
 files = [
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 ]
 
 [package.dependencies]
@@ -1244,6 +1328,186 @@ files = [
 docs = ["Sphinx", "docutils (<0.18)"]
 test = ["faulthandler", "objgraph", "psutil"]
 
+[[package]]
+name = "grpcio"
+version = "1.51.1"
+description = "HTTP/2-based RPC framework"
+category = "main"
+optional = true
+python-versions = ">=3.7"
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+    {file = "httpcore-0.16.3.tar.gz", hash = "sha256:c5d6f04e2fc530f39e0c077e6a30caa53f1451096120f1f38b954afd0b17c0cb"},
+]
+
+[package.dependencies]
+anyio = ">=3.0,<5.0"
+certifi = "*"
+h11 = ">=0.13,<0.15"
+sniffio = ">=1.0.0,<2.0.0"
+
+[package.extras]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (>=1.0.0,<2.0.0)"]
+
 [[package]]
 name = "httplib2"
 version = "0.21.0"
@@ -1259,6 +1523,31 @@ files = [
 [package.dependencies]
 pyparsing = {version = ">=2.4.2,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.0.2 || >3.0.2,<3.0.3 || >3.0.3,<4", markers = "python_version > \"3.0\""}
 
+[[package]]
+name = "httpx"
+version = "0.23.3"
+description = "The next generation HTTP client."
+category = "main"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "httpx-0.23.3-py3-none-any.whl", hash = "sha256:a211fcce9b1254ea24f0cd6af9869b3d29aba40154e947d2a07bb499b3e310d6"},
+    {file = "httpx-0.23.3.tar.gz", hash = "sha256:9818458eb565bb54898ccb9b8b251a28785dd4a55afbc23d0eb410754fe7d0f9"},
+]
+
+[package.dependencies]
+certifi = "*"
+h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
+httpcore = ">=0.15.0,<0.17.0"
+rfc3986 = {version = ">=1.3,<2", extras = ["idna2008"]}
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<13)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (>=1.0.0,<2.0.0)"]
+
 [[package]]
 name = "huggingface-hub"
 version = "0.11.1"
@@ -1290,6 +1579,18 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "isort (>=5.5.4)", "jedi", "pytest"
 torch = ["torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
 
+[[package]]
+name = "hyperframe"
+version = "6.0.1"
+description = "HTTP/2 framing layer for Python"
+category = "main"
+optional = true
+python-versions = ">=3.6.1"
+files = [
+    {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
+    {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
+]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -1367,14 +1668,14 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.20.1"
+version = "6.20.2"
 description = "IPython Kernel for Jupyter"
 category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.20.1-py3-none-any.whl", hash = "sha256:a314e6782a4f9e277783382976b3a93608a3787cd70a235b558b47f875134be1"},
-    {file = "ipykernel-6.20.1.tar.gz", hash = "sha256:f6016ecbf581d0ea6e29ba16cee6cc1a9bbde3835900c46c6571a791692f4139"},
+    {file = "ipykernel-6.20.2-py3-none-any.whl", hash = "sha256:5d0675d5f48bf6a95fd517d7b70bcb3b2c5631b2069949b5c2d6e1d7477fb5a0"},
+    {file = "ipykernel-6.20.2.tar.gz", hash = "sha256:1893c5b847033cd7a58f6843b04a9349ffb1031bc6588401cadc9adb58da428e"},
 ]
 
 [package.dependencies]
@@ -1506,18 +1807,18 @@ requirements-deprecated-finder = ["pip-api", "pipreqs"]
 
 [[package]]
 name = "jaraco-context"
-version = "4.2.0"
+version = "4.3.0"
 description = "Context managers by jaraco"
 category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "jaraco.context-4.2.0-py3-none-any.whl", hash = "sha256:c99a215fab101ad56fbe42c8c7955f2c7310cab9ae917c9765f3f0a81b3f8d54"},
-    {file = "jaraco.context-4.2.0.tar.gz", hash = "sha256:ec4fa8b3023938b74faf8ba1d2c867486d95359156ed43adfaac3bbb5339f12c"},
+    {file = "jaraco.context-4.3.0-py3-none-any.whl", hash = "sha256:5d9e95ca0faa78943ed66f6bc658dd637430f16125d86988e77844c741ff2f11"},
+    {file = "jaraco.context-4.3.0.tar.gz", hash = "sha256:4dad2404540b936a20acedec53355bdaea223acb88fd329fa6de9261c941566e"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
 
 [[package]]
@@ -1663,14 +1964,14 @@ testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbforma
 
 [[package]]
 name = "jupyter-client"
-version = "7.4.8"
+version = "7.4.9"
 description = "Jupyter protocol implementation and client libraries"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "jupyter_client-7.4.9-py3-none-any.whl", hash = "sha256:214668aaea208195f4c13d28eb272ba79f945fc0cf3f11c7092c20b2ca1980e7"},
+    {file = "jupyter_client-7.4.9.tar.gz", hash = "sha256:52be28e04171f07aed8f20e1616a5a552ab9fee9cbbe6c1896ae170c3880d392"},
 ]
 
 [package.dependencies]
@@ -1731,20 +2032,22 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-events"
-version = "0.6.0"
+version = "0.6.3"
 description = "Jupyter Event System library"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "jupyter_events-0.6.3-py3-none-any.whl", hash = "sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17"},
+    {file = "jupyter_events-0.6.3.tar.gz", hash = "sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3"},
 ]
 
 [package.dependencies]
-jsonschema = {version = ">=4.3.0", extras = ["format-nongpl"]}
+jsonschema = {version = ">=3.2.0", extras = ["format-nongpl"]}
 python-json-logger = ">=2.0.4"
-pyyaml = ">=6.0"
+pyyaml = ">=5.3"
+rfc3339-validator = "*"
+rfc3986-validator = ">=0.1.1"
 traitlets = ">=5.3"
 
 [package.extras]
@@ -1754,14 +2057,14 @@ test = ["click", "coverage", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=
 
 [[package]]
 name = "jupyter-server"
-version = "2.0.6"
+version = "2.1.0"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jupyter_server-2.1.0-py3-none-any.whl", hash = "sha256:90cd6f2bd0581ddd9b2dbe82026a0f4c228a1d95c86e22460efbfdfc931fcf56"},
+    {file = "jupyter_server-2.1.0.tar.gz", hash = "sha256:efaae5e4f0d5f22c7f2f2dc848635036ee74a2df02abed52d30d9d95121ad382"},
 ]
 
 [package.dependencies]
@@ -1785,7 +2088,7 @@ traitlets = ">=5.6.0"
 websocket-client = "*"
 
 [package.extras]
-docs = ["docutils (<0.20)", "ipykernel", "jinja2", "jupyter-client", "jupyter-server", "mistune (<1.0.0)", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
+docs = ["docutils (<0.20)", "ipykernel", "jinja2", "jupyter-client", "jupyter-server", "mistune (<1.0.0)", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
 test = ["ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.4)", "pytest-timeout", "requests"]
 
 [[package]]
@@ -2043,52 +2346,62 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
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-version = "2.1.1"
+version = "2.1.2"
 description = "Safely add untrusted strings to HTML/XML markup."
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 python-versions = ">=3.7"
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 [[package]]
@@ -2391,14 +2704,14 @@ test = ["black", "check-manifest", "flake8", "ipykernel", "ipython (<8.0.0)", "i
 
 [[package]]
 name = "nbconvert"
-version = "7.2.7"
+version = "7.2.8"
 description = "Converting Jupyter Notebooks"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -2421,7 +2734,7 @@ traitlets = ">=5.0"
 
 [package.extras]
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-docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)"]
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 qtpdf = ["nbconvert[qtpng]"]
 qtpng = ["pyqtwebengine (>=5.15)"]
 serve = ["tornado (>=6.1)"]
@@ -2430,14 +2743,14 @@ webpdf = ["pyppeteer (>=1,<1.1)"]
 
 [[package]]
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-version = "5.7.1"
+version = "5.7.3"
 description = "The Jupyter Notebook format"
 category = "dev"
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 python-versions = ">=3.7"
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@@ -2447,19 +2760,19 @@ jupyter-core = "*"
 traitlets = ">=5.1"
 
 [package.extras]
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 test = ["pep440", "pre-commit", "pytest", "testpath"]
 
 [[package]]
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 description = "Jupyter Notebook Tools for Sphinx"
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 [package.dependencies]
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 [[package]]
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 [[package]]
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 [package.dependencies]
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 [package.dependencies]
 cffi = {version = "*", markers = "implementation_name == \"pypy\""}
-py = {version = "*", markers = "implementation_name == \"pypy\""}
+
+[[package]]
+name = "qdrant-client"
+version = "0.11.7"
+description = "Client library for the Qdrant vector search engine"
+category = "main"
+optional = true
+python-versions = ">=3.7,<4.0"
+files = [
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+[package.dependencies]
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+numpy = ">=1.21"
+pydantic = ">=1.8,<2.0"
+typing-extensions = ">=4.0.0,<5.0.0"
 
 [[package]]
 name = "qtconsole"
@@ -3647,14 +3970,14 @@ test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"]
 
 [[package]]
 name = "redis"
-version = "4.4.1"
+version = "4.4.2"
 description = "Python client for Redis database and key-value store"
 category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -3764,19 +4087,19 @@ files = [
 
 [[package]]
 name = "requests"
-version = "2.28.1"
+version = "2.28.2"
 description = "Python HTTP for Humans."
 category = "main"
 optional = false
 python-versions = ">=3.7, <4"
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 ]
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-charset-normalizer = ">=2,<3"
+charset-normalizer = ">=2,<4"
 idna = ">=2.5,<4"
 urllib3 = ">=1.21.1,<1.27"
 
@@ -3799,6 +4122,24 @@ files = [
 [package.dependencies]
 six = "*"
 
+[[package]]
+name = "rfc3986"
+version = "1.5.0"
+description = "Validating URI References per RFC 3986"
+category = "main"
+optional = true
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+idna = {version = "*", optional = true, markers = "extra == \"idna2008\""}
+
+[package.extras]
+idna2008 = ["idna"]
+
 [[package]]
 name = "rfc3986-validator"
 version = "0.1.1"
@@ -3845,18 +4186,18 @@ win32 = ["pywin32"]
 
 [[package]]
 name = "setuptools"
-version = "65.6.3"
+version = "66.0.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
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+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
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@@ -3898,7 +4239,7 @@ webhdfs = ["requests"]
 name = "sniffio"
 version = "1.3.0"
 description = "Sniff out which async library your code is running under"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3932,40 +4273,40 @@ files = [
 
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-version = "3.4.4"
+version = "3.5.0"
 description = "Industrial-strength Natural Language Processing (NLP) in Python"
 category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
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 murmurhash = ">=0.28.0,<1.1.0"
 numpy = ">=1.15.0"
 packaging = ">=20.0"
-pathy = ">=0.3.5"
+pathy = ">=0.10.0"
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 setuptools = "*"
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 spacy-loggers = ">=1.0.0,<2.0.0"
 srsly = ">=2.4.3,<3.0.0"
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 tqdm = ">=4.38.0,<5.0.0"
 typer = ">=0.3.0,<0.8.0"
-wasabi = ">=0.9.1,<1.1.0"
+wasabi = ">=0.9.1,<1.2.0"
 
 [package.extras]
 apple = ["thinc-apple-ops (>=0.1.0.dev0,<1.0.0)"]
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 lookups = ["spacy-lookups-data (>=1.0.3,<1.1.0)"]
 ray = ["spacy-ray (>=0.1.0,<1.0.0)"]
 th = ["pythainlp (>=2.0)"]
-transformers = ["spacy-transformers (>=1.1.2,<1.2.0)"]
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 [[package]]
 name = "spacy-legacy"
@@ -4455,40 +4796,40 @@ test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"]
 
 [[package]]
 name = "thinc"
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+version = "8.1.7"
 description = "A refreshing functional take on deep learning, compatible with your favorite libraries"
 category = "main"
 optional = true
 python-versions = ">=3.6"
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+    {file = "thinc-8.1.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5b9a61b5e0c3b331c4a2b26f779d531783097c784ef3a73f7a26fd07858efce7"},
+    {file = "thinc-8.1.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32a16f7527c71e4ba43b2b5be01c7b2675886ff83a80eaf5aae0f5b44ba1fa02"},
+    {file = "thinc-8.1.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d38c6c46f3ce34c48fc8abe8c25cdf8d9eabd5256d88dc7d77d5fcb60e8a41b6"},
+    {file = "thinc-8.1.7-cp39-cp39-win_amd64.whl", hash = "sha256:618a7942edc35d6a5ee79012c3d8f3aadbd466760ea94bc7529239b15c5c4a22"},
+    {file = "thinc-8.1.7.tar.gz", hash = "sha256:0f08f6d1fc50e28bf18814ca2b1c807cd4d59a930d713459a675e086c4779af9"},
 ]
 
 [package.dependencies]
@@ -4600,11 +4941,14 @@ files = [
     {file = "tokenizers-0.13.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47ef745dbf9f49281e900e9e72915356d69de3a4e4d8a475bda26bfdb5047736"},
     {file = "tokenizers-0.13.2-cp310-cp310-win32.whl", hash = "sha256:96cedf83864bcc15a3ffd088a6f81a8a8f55b8b188eabd7a7f2a4469477036df"},
     {file = "tokenizers-0.13.2-cp310-cp310-win_amd64.whl", hash = "sha256:eda77de40a0262690c666134baf19ec5c4f5b8bde213055911d9f5a718c506e1"},
+    {file = "tokenizers-0.13.2-cp311-cp311-macosx_10_11_universal2.whl", hash = "sha256:9eee037bb5aa14daeb56b4c39956164b2bebbe6ab4ca7779d88aa16b79bd4e17"},
+    {file = "tokenizers-0.13.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d1b079c4c9332048fec4cb9c2055c2373c74fbb336716a5524c9a720206d787e"},
     {file = "tokenizers-0.13.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a689654fc745135cce4eea3b15e29c372c3e0b01717c6978b563de5c38af9811"},
     {file = "tokenizers-0.13.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3606528c07cda0566cff6cbfbda2b167f923661be595feac95701ffcdcbdbb21"},
     {file = "tokenizers-0.13.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:41291d0160946084cbd53c8ec3d029df3dc2af2673d46b25ff1a7f31a9d55d51"},
     {file = "tokenizers-0.13.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7892325f9ca1cc5fca0333d5bfd96a19044ce9b092ce2df625652109a3de16b8"},
     {file = "tokenizers-0.13.2-cp311-cp311-win32.whl", hash = "sha256:93714958d4ebe5362d3de7a6bd73dc86c36b5af5941ebef6c325ac900fa58865"},
+    {file = "tokenizers-0.13.2-cp311-cp311-win_amd64.whl", hash = "sha256:fa7ef7ee380b1f49211bbcfac8a006b1a3fa2fa4c7f4ee134ae384eb4ea5e453"},
     {file = "tokenizers-0.13.2-cp37-cp37m-macosx_10_11_x86_64.whl", hash = "sha256:da521bfa94df6a08a6254bb8214ea04854bb9044d61063ae2529361688b5440a"},
     {file = "tokenizers-0.13.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a739d4d973d422e1073989769723f3b6ad8b11e59e635a63de99aea4b2208188"},
     {file = "tokenizers-0.13.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cac01fc0b868e4d0a3aa7c5c53396da0a0a63136e81475d32fcf5c348fcb2866"},
@@ -4613,6 +4957,7 @@ files = [
     {file = "tokenizers-0.13.2-cp37-cp37m-win32.whl", hash = "sha256:a537061ee18ba104b7f3daa735060c39db3a22c8a9595845c55b6c01d36c5e87"},
     {file = "tokenizers-0.13.2-cp37-cp37m-win_amd64.whl", hash = "sha256:c82fb87b1cbfa984d8f05b2b3c3c73e428b216c1d4f0e286d0a3b27f521b32eb"},
     {file = "tokenizers-0.13.2-cp38-cp38-macosx_10_11_x86_64.whl", hash = "sha256:ce298605a833ac7f81b8062d3102a42dcd9fa890493e8f756112c346339fe5c5"},
+    {file = "tokenizers-0.13.2-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:f44d59bafe3d61e8a56b9e0a963075187c0f0091023120b13fbe37a87936f171"},
     {file = "tokenizers-0.13.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a51b93932daba12ed07060935978a6779593a59709deab04a0d10e6fd5c29e60"},
     {file = "tokenizers-0.13.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6969e5ea7ccb909ce7d6d4dfd009115dc72799b0362a2ea353267168667408c4"},
     {file = "tokenizers-0.13.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:92f040c4d938ea64683526b45dfc81c580e3b35aaebe847e7eec374961231734"},
@@ -4845,40 +5190,59 @@ dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2
 doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
 test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<13.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
 
+[[package]]
+name = "types-pyopenssl"
+version = "23.0.0.2"
+description = "Typing stubs for pyOpenSSL"
+category = "dev"
+optional = false
+python-versions = "*"
+files = [
+    {file = "types-pyOpenSSL-23.0.0.2.tar.gz", hash = "sha256:2e95f9a667d5eeb0af699196f857f7d23d5b4d642437bd37355bc13a87e9f4ae"},
+    {file = "types_pyOpenSSL-23.0.0.2-py3-none-any.whl", hash = "sha256:ea7e5d06f9190a1cb013ad4b13d48896e5cd1e785c04491f38b206d1bc4b8dc1"},
+]
+
+[package.dependencies]
+cryptography = ">=35.0.0"
+
 [[package]]
 name = "types-pyyaml"
-version = "6.0.12.2"
+version = "6.0.12.3"
 description = "Typing stubs for PyYAML"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-PyYAML-6.0.12.2.tar.gz", hash = "sha256:6840819871c92deebe6a2067fb800c11b8a063632eb4e3e755914e7ab3604e83"},
-    {file = "types_PyYAML-6.0.12.2-py3-none-any.whl", hash = "sha256:1e94e80aafee07a7e798addb2a320e32956a373f376655128ae20637adb2655b"},
+    {file = "types-PyYAML-6.0.12.3.tar.gz", hash = "sha256:17ce17b3ead8f06e416a3b1d5b8ddc6cb82a422bb200254dd8b469434b045ffc"},
+    {file = "types_PyYAML-6.0.12.3-py3-none-any.whl", hash = "sha256:879700e9f215afb20ab5f849590418ab500989f83a57e635689e1d50ccc63f0c"},
 ]
 
 [[package]]
 name = "types-redis"
-version = "4.4.0.0"
+version = "4.4.0.3"
 description = "Typing stubs for redis"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-redis-4.4.0.0.tar.gz", hash = "sha256:7d826d458e9a6dbd7d4f21fdf6d7c39ba2e2f3474c8a348000241965860a0edf"},
-    {file = "types_redis-4.4.0.0-py3-none-any.whl", hash = "sha256:cc3832caab14f86af2c62ac3c865694df925df525b8083509035842ecb6b5950"},
+    {file = "types-redis-4.4.0.3.tar.gz", hash = "sha256:99fc86307fb19b775a0ad5de91d2fc0ccdb9a2be7ac790f4553911d2f2abdf61"},
+    {file = "types_redis-4.4.0.3-py3-none-any.whl", hash = "sha256:fc25550bc108908a32bb47cfdecde8d2155b6b7e40688af99a4bacbd7e3e857e"},
 ]
 
+[package.dependencies]
+cryptography = ">=35.0.0"
+types-pyOpenSSL = "*"
+
 [[package]]
 name = "types-requests"
-version = "2.28.11.7"
+version = "2.28.11.8"
 description = "Typing stubs for requests"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-requests-2.28.11.7.tar.gz", hash = "sha256:0ae38633734990d019b80f5463dfa164ebd3581998ac8435f526da6fe4d598c3"},
-    {file = "types_requests-2.28.11.7-py3-none-any.whl", hash = "sha256:b6a2fca8109f4fdba33052f11ed86102bddb2338519e1827387137fefc66a98b"},
+    {file = "types-requests-2.28.11.8.tar.gz", hash = "sha256:e67424525f84adfbeab7268a159d3c633862dafae15c5b19547ce1b55954f0a3"},
+    {file = "types_requests-2.28.11.8-py3-none-any.whl", hash = "sha256:61960554baca0008ae7e2db2bd3b322ca9a144d3e80ce270f5fb640817e40994"},
 ]
 
 [package.dependencies]
@@ -4949,14 +5313,14 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "1.26.13"
+version = "1.26.14"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 files = [
-    {file = "urllib3-1.26.13-py2.py3-none-any.whl", hash = "sha256:47cc05d99aaa09c9e72ed5809b60e7ba354e64b59c9c173ac3018642d8bb41fc"},
-    {file = "urllib3-1.26.13.tar.gz", hash = "sha256:c083dd0dce68dbfbe1129d5271cb90f9447dea7d52097c6e0126120c521ddea8"},
+    {file = "urllib3-1.26.14-py2.py3-none-any.whl", hash = "sha256:75edcdc2f7d85b137124a6c3c9fc3933cdeaa12ecb9a6a959f22797a0feca7e1"},
+    {file = "urllib3-1.26.14.tar.gz", hash = "sha256:076907bf8fd355cde77728471316625a4d2f7e713c125f51953bb5b3eecf4f72"},
 ]
 
 [package.extras]
@@ -4983,16 +5347,19 @@ test = ["flake8 (>=2.4.0)", "isort (>=4.2.2)", "pytest (>=2.2.3)"]
 
 [[package]]
 name = "wasabi"
-version = "0.10.1"
+version = "1.1.1"
 description = "A lightweight console printing and formatting toolkit"
 category = "main"
 optional = true
-python-versions = "*"
+python-versions = ">=3.6"
 files = [
-    {file = "wasabi-0.10.1-py3-none-any.whl", hash = "sha256:fe862cc24034fbc9f04717cd312ab884f71f51a8ecabebc3449b751c2a649d83"},
-    {file = "wasabi-0.10.1.tar.gz", hash = "sha256:c8e372781be19272942382b14d99314d175518d7822057cb7a97010c4259d249"},
+    {file = "wasabi-1.1.1-py3-none-any.whl", hash = "sha256:32e44649d99a64e08e40c1c96cddb69fad460bd0cc33802a53cab6714dfb73f8"},
+    {file = "wasabi-1.1.1.tar.gz", hash = "sha256:f5ee7c609027811bd16e620f2fd7a7319466005848e41b051a62053ab8fd70d6"},
 ]
 
+[package.dependencies]
+colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python_version >= \"3.7\""}
+
 [[package]]
 name = "watchdog"
 version = "2.2.1"
@@ -5036,14 +5403,14 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.5"
+version = "0.2.6"
 description = "Measures the displayed width of unicode strings in a terminal"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
-    {file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
+    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
+    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
 ]
 
 [[package]]
@@ -5212,10 +5579,10 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker
 testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
 
 [extras]
-all = ["manifest-ml", "elasticsearch", "faiss-cpu", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "weaviate-client", "redis", "google-api-python-client", "wolframalpha"]
+all = ["manifest-ml", "elasticsearch", "faiss-cpu", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client"]
 llms = ["manifest-ml", "torch", "transformers"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "bc82687494f292761179416f1da8357b3e25657df45f87dc509281767a94ab02"
+content-hash = "2da2c13a9a1572e4f7792c336c57f7087d79c21a1370d6f0534bcfa80abcad30"
diff --git a/pyproject.toml b/pyproject.toml
index b4b22cbd..37a201a7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,6 +30,7 @@ pinecone-client = {version = "^2", optional = true}
 weaviate-client = {version = "^3", optional = true}
 google-api-python-client = {version = "2.70.0", optional = true}
 wolframalpha = {version = "5.0.0", optional = true}
+qdrant-client = {version = "^0.11.7", optional = true}
 
 [tool.poetry.group.docs.dependencies]
 autodoc_pydantic = "^1.8.0"
@@ -74,7 +75,7 @@ playwright = "^1.28.0"
 
 [tool.poetry.extras]
 llms = ["cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"]
-all = ["cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "elasticsearch", "google-search-results", "faiss-cpu", "sentence_transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "weaviate-client", "redis", "google-api-python-client", "wolframalpha"]
+all = ["cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "elasticsearch", "google-search-results", "faiss-cpu", "sentence_transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client"]
 
 [tool.isort]
 profile = "black"
diff --git a/tests/integration_tests/vectorstores/test_qdrant.py b/tests/integration_tests/vectorstores/test_qdrant.py
new file mode 100644
index 00000000..660e6250
--- /dev/null
+++ b/tests/integration_tests/vectorstores/test_qdrant.py
@@ -0,0 +1,57 @@
+"""Test Qdrant functionality."""
+from typing import List
+
+from langchain.docstore.document import Document
+from langchain.embeddings.base import Embeddings
+from langchain.vectorstores import Qdrant
+
+
+class FakeEmbeddings(Embeddings):
+    """Fake embeddings functionality for testing."""
+
+    def embed_documents(self, texts: List[str]) -> List[List[float]]:
+        """Return simple embeddings."""
+        return [[1.0] * 9 + [float(i)] for i in range(len(texts))]
+
+    def embed_query(self, text: str) -> List[float]:
+        """Return simple embeddings."""
+        return [1.0] * 9 + [0.0]
+
+
+def test_qdrant() -> None:
+    """Test end to end construction and search."""
+    texts = ["foo", "bar", "baz"]
+    docsearch = Qdrant.from_texts(texts, FakeEmbeddings(), host="localhost")
+    output = docsearch.similarity_search("foo", k=1)
+    assert output == [Document(page_content="foo")]
+
+
+def test_qdrant_with_metadatas() -> None:
+    """Test end to end construction and search."""
+    texts = ["foo", "bar", "baz"]
+    metadatas = [{"page": i} for i in range(len(texts))]
+    docsearch = Qdrant.from_texts(
+        texts,
+        FakeEmbeddings(),
+        metadatas=metadatas,
+        host="localhost",
+    )
+    output = docsearch.similarity_search("foo", k=1)
+    assert output == [Document(page_content="foo", metadata={"page": 0})]
+
+
+def test_qdrant_max_marginal_relevance_search() -> None:
+    """Test end to end construction and MRR search."""
+    texts = ["foo", "bar", "baz"]
+    metadatas = [{"page": i} for i in range(len(texts))]
+    docsearch = Qdrant.from_texts(
+        texts,
+        FakeEmbeddings(),
+        metadatas=metadatas,
+        host="localhost",
+    )
+    output = docsearch.max_marginal_relevance_search("foo", k=2, fetch_k=3)
+    assert output == [
+        Document(page_content="foo", metadata={"page": 0}),
+        Document(page_content="bar", metadata={"page": 1}),
+    ]