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docs: Update Retrievers and Runnable links in Retrievers subsection of retrievers.ipynb (#27815)
**Description:** Update outdated links for `Retrievers` and `Runnable` in Retrievers subsection of `retrievers.ipynb`
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docs/docs/tutorials/retrievers.ipynb

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"\n",
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"## Retrievers\n",
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"LangChain `VectorStore` objects do not subclass [Runnable](https://python.langchain.com/api_reference/core/index.html#module-langchain_core.runnables), and so cannot immediately be integrated into LangChain Expression Language [chains](/docs/concepts/lcel).\n",
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"LangChain `VectorStore` objects do not subclass [Runnable](https://python.langchain.com/api_reference/core/index.html#langchain-core-runnables), and so cannot immediately be integrated into LangChain Expression Language [chains](/docs/concepts/lcel).\n",
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"LangChain [Retrievers](https://python.langchain.com/api_reference/core/index.html#module-langchain_core.retrievers) are Runnables, so they implement a standard set of methods (e.g., synchronous and asynchronous `invoke` and `batch` operations) and are designed to be incorporated in LCEL chains.\n",
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"LangChain [Retrievers](https://python.langchain.com/api_reference/core/index.html#langchain-core-retrievers) are Runnables, so they implement a standard set of methods (e.g., synchronous and asynchronous `invoke` and `batch` operations) and are designed to be incorporated in LCEL chains.\n",
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"We can create a simple version of this ourselves, without subclassing `Retriever`. If we choose what method we wish to use to retrieve documents, we can create a runnable easily. Below we will build one around the `similarity_search` method:"
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