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We need Semantic Search to do searches at least 500 documents in one shot. We also need simalility index on the results as well as handle pdf and microsoft office files….
Building on this thread, it would be great to be able to apply generative.ai search across all our documents and files—indexing, chunking, and vectorizing our files—to increase our ability to access and search for data within our files. Where we can leverage our gen.ai model of choice to reason and search across hundreds of thousands of files.
Today, we can see this feature in a narrow application within the ‘Files’ tab once you’ve drilled into an Asset. However, having more advanced search capabilities would be great when looking across our engineering files.
This could be very valuable when performing RCAs, developing job plans, or needing details about an asset when in the field using InField—by passing the traditional search workflow.
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