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docs: Update VectorStore as_retriever method url in qa_chat_history_h…
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…ow_to.ipynb (#27844)

**Description**: Update VectorStore `as_retriever` method api reference
url in `qa_chat_history_how_to.ipynb`

Co-authored-by: Erick Friis <[email protected]>
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sifatj and efriis authored Nov 4, 2024
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2 changes: 1 addition & 1 deletion docs/docs/how_to/qa_chat_history_how_to.ipynb
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"id": "15f8ad59-19de-42e3-85a8-3ba95ee0bd43",
"metadata": {},
"source": [
"For the retriever, we will use [WebBaseLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.web_base.WebBaseLoader.html) to load the content of a web page. Here we instantiate a `InMemoryVectorStore` vectorstore and then use its [.as_retriever](https://python.langchain.com/api_reference/core/vectorstores/langchain_core.vectorstores.VectorStore.html#langchain_core.vectorstores.VectorStore.as_retriever) method to build a retriever that can be incorporated into [LCEL](/docs/concepts/lcel) chains."
"For the retriever, we will use [WebBaseLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.web_base.WebBaseLoader.html) to load the content of a web page. Here we instantiate a `InMemoryVectorStore` vectorstore and then use its [.as_retriever](https://python.langchain.com/api_reference/core/vectorstores/langchain_core.vectorstores.base.VectorStore.html#langchain_core.vectorstores.base.VectorStore.as_retriever) method to build a retriever that can be incorporated into [LCEL](/docs/concepts/lcel) chains."
]
},
{
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