Known issues
These are the known issues in this release.
Platform
- AI Hub doesn’t support digitizing documents of more than 800 pages.
Converse
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When querying multiple documents in Converse:
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With the multistep model, the information source is accurately returned only at a page level.
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Only the multistep model can return visualizations such as graphs and charts.
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Single specific tables can’t be extracted.
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Table extraction is in public preview, and Converse can’t yet reliably do the following:
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Correctly extract a single table that’s continued on a different page, unless the table header is present on the subsequent page. If there is no consistent table header across all pages, the tables on each page are detected separately.
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Select a table from an Excel sheet that contains multiple tables on one sheet. If a single Excel sheet contains more than one table, Converse can extract only the top left table.
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Select a table from a document with many (approximately 30 or more) tables in a single document.
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Use non-English language queries for table extraction from non-English documents.
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Respond to prompts about tables that aren’t found by Converse’s object detection.
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List the exact source of information in a table. Instead, Converse cites the entire table as the information source.
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When you publish a new chatbot version, including updating any of the chatbot’s details or settings, all users of the chatbot lose their chat history and are redirected to the chatbot’s latest version.
Build
- With an extraction prompt, table extraction results can be somewhat unreliable, particularly if you enabled object detection in your project settings. If you’re not seeing expected results, switch to a reasoning prompt or disable object detection.