fix doc tags (#2019)

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Harrison Chase 1 year ago committed by GitHub
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# Interacting with APIs # 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. Lots of data and information is stored behind APIs.

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# Chatbots # 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. Since language models are good at producing text, that makes them ideal for creating chatbots.

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# Extraction # 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. Most APIs and databases still deal with structured information.

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# Personal Assistants # 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. We use "personal assistant" here in a very broad sense.

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# Question Answering over Docs # 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. Question answering in this context refers to question answering over your document data.

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# Summarization # 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. Summarization involves creating a smaller summary of multiple longer documents.

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# Querying Tabular Data # 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. Lots of data and information is stored in tabular data, whether it be csvs, excel sheets, or SQL tables.

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