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fix doc tags (#2019)
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# Interacting with APIs
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/use-cases/apis>`_
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> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/apis)
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Lots of data and information is stored behind APIs.
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# Chatbots
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/use-cases/chatbots>`_
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> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/chatbots)
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Since language models are good at producing text, that makes them ideal for creating chatbots.
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# Extraction
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/use-cases/extraction>`_
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> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/extraction)
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Most APIs and databases still deal with structured information.
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# Personal Assistants
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/use-cases/personal-assistants>`_
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> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/personal-assistants)
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We use "personal assistant" here in a very broad sense.
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# Question Answering over Docs
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/use-cases/qa-docs>`_
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> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/qa-docs)
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Question answering in this context refers to question answering over your document data.
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# Summarization
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/use-cases/summarization>`_
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> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/summarization)
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Summarization involves creating a smaller summary of multiple longer documents.
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# Querying Tabular Data
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/use-cases/qa-tabular>`_
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> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/qa-tabular)
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Lots of data and information is stored in tabular data, whether it be csvs, excel sheets, or SQL tables.
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