fix doc tags (#2019)

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# Interacting with APIs
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/use-cases/apis>`_
> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/apis)
Lots of data and information is stored behind APIs.

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# Chatbots
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/use-cases/chatbots>`_
> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/chatbots)
Since language models are good at producing text, that makes them ideal for creating chatbots.

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# Extraction
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/use-cases/extraction>`_
> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/extraction)
Most APIs and databases still deal with structured information.

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# Personal Assistants
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/use-cases/personal-assistants>`_
> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/personal-assistants)
We use "personal assistant" here in a very broad sense.

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# Question Answering over Docs
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/use-cases/qa-docs>`_
> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/qa-docs)
Question answering in this context refers to question answering over your document data.

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# Summarization
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/use-cases/summarization>`_
> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/summarization)
Summarization involves creating a smaller summary of multiple longer documents.

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# Querying Tabular Data
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/use-cases/qa-tabular>`_
> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/qa-tabular)
Lots of data and information is stored in tabular data, whether it be csvs, excel sheets, or SQL tables.