diff --git a/docs/docs/integrations/vectorstores/qdrant.ipynb b/docs/docs/integrations/vectorstores/qdrant.ipynb index fe5544e7e82..42b456b5a97 100644 --- a/docs/docs/integrations/vectorstores/qdrant.ipynb +++ b/docs/docs/integrations/vectorstores/qdrant.ipynb @@ -34,7 +34,7 @@ }, "outputs": [], "source": [ - "%pip install -qU langchain-qdrant 'qdrant-client[fastembed]'" + "%pip install -qU langchain-qdrant" ] }, { @@ -628,7 +628,7 @@ "id": "525e3582", "metadata": {}, "source": [ - "For a full list of all the search functions available for a `QdrantVectorStore`, read the [API reference](https://api.python.langchain.com/en/latest/vectorstores/langchain_qdrant.vectorstores.Qdrant.html)\n", + "For a full list of all the search functions available for a `QdrantVectorStore`, read the [API reference](https://api.python.langchain.com/en/latest/qdrant/langchain_qdrant.qdrant.QdrantVectorStore.html)\n", "\n", "### Metadata filtering\n", "\n", @@ -814,7 +814,7 @@ "source": [ "## API reference\n", "\n", - "For detailed documentation of all `QdrantVectorStore` features and configurations head to the API reference: https://api.python.langchain.com/en/latest/vectorstores/langchain_qdrant.vectorstores.Qdrant.html" + "For detailed documentation of all `QdrantVectorStore` features and configurations head to the API reference: https://api.python.langchain.com/en/latest/qdrant/langchain_qdrant.qdrant.QdrantVectorStore.html" ] } ], diff --git a/libs/partners/qdrant/langchain_qdrant/qdrant.py b/libs/partners/qdrant/langchain_qdrant/qdrant.py index 7490baaa97f..165ca66cf88 100644 --- a/libs/partners/qdrant/langchain_qdrant/qdrant.py +++ b/libs/partners/qdrant/langchain_qdrant/qdrant.py @@ -42,17 +42,19 @@ class QdrantVectorStore(VectorStore): """Qdrant vector store integration. Setup: - Install ``langchain-qdrant`` and ``qdrant-client[fastembed]`` packages. + Install ``langchain-qdrant`` package. .. code-block:: bash - pip install -qU langchain-qdrant 'qdrant-client[fastembed]' + pip install -qU langchain-qdrant Key init args — indexing params: collection_name: str Name of the collection. embedding: Embeddings Embedding function to use. + sparse_embedding: SparseEmbeddings + Optional sparse embedding function to use. Key init args — client params: client: QdrantClient