Limiting table summaries to the information found exclusively in the table causes you to lose the full meaning of the data.
By including a summary of the full-page where the table was found, table summarization is contextualized and more accurate.
Changelog has a notebook 👇
New format support in Tensorlake:
- XML files (configs, structured exports)
- Legacy DOC files (Word 97-2003)
- Markdown files (docs, specs)
Same API, same extraction capabilities.
For engineers tired of format-specific parsers.
You can now login into Tensorlake using Microsoft and Azure SSO credentials!
This is the beginning of better integration with Microsoft Azure and Tensorlake. If you are using Azure, and need better Document Ingestion and ETL for unstructured data reach out to us!
I found the secret to 10x any RAG application results.
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