Question Answering on Structured Data

Haystack is introducing new tools for question answering on tables using its NLP framework. Structured data, such as tables, can be processed by computers due to their standardized format. The Haystack NLP framework allows users to extract answers from tabular data, retrieve best results from a table corpus, and perform question answering on structured data. The new tools include the TableTextRetriever for retrieval on a mixed corpus of documents and tables, and the TableReader for question answering on tables. These tools have been designed to work with retriever and reader models trained specifically on datasets with structured tabular data. The Haystack pipeline allows users to combine these nodes for table question answering on a large collection of tables. The tools are available for use in Haystack's GitHub repository, and the community is invited to join the Discord server for support and updates.

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