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querying tabular data (#1758)

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Harrison Chase
2023-03-18 11:12:18 -07:00
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@@ -97,6 +97,8 @@ The above modules can be used in a variety of ways. LangChain also provides guid
- `Summarization <./use_cases/summarization.html>`_: Summarizing longer documents into shorter, more condensed chunks of information. A type of Data Augmented Generation.
- `Querying Tabular Data <./use_cases/tabular.html>`_: If you want to understand how to use LLMs to query data that is stored in a tabular format (csvs, SQL, dataframes, etc) you should read this page.
- `Evaluation <./use_cases/evaluation.html>`_: Generative models are notoriously hard to evaluate with traditional metrics. One new way of evaluating them is using language models themselves to do the evaluation. LangChain provides some prompts/chains for assisting in this.
- `Generate similar examples <./use_cases/generate_examples.html>`_: Generating similar examples to a given input. This is a common use case for many applications, and LangChain provides some prompts/chains for assisting in this.
@@ -117,6 +119,7 @@ The above modules can be used in a variety of ways. LangChain also provides guid
./use_cases/combine_docs.md
./use_cases/question_answering.md
./use_cases/summarization.md
./use_cases/tabular.rst
./use_cases/evaluation.rst
./use_cases/model_laboratory.ipynb