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docs: Update VectorStore as_retriever method url in qa_chat_history_how_to.ipynb #27844

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merged 2 commits into from
Nov 4, 2024
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docs: Update VectorStore as_retriever method url in qa_chat_history_how_to.ipynb #27844

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57d0f6b
Update VectorStore as_retriever method url in qa_chat_history_how_to.…
sifatj Nov 1, 2024
92e07f1
Merge branch 'master' into patch-7
efriis 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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Expand Up @@ -155,7 +155,7 @@
"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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