Viewing profile — macklinkachorn

In my previous role, I have experienced similar things where the rule-based parsing approach is really tricky to get right and often failed via from edge cases. We (at https://runt…

The users specify the schema and output format and a validation rule and we make sure the system adheres to that.

That’s awesome. Curious to hear your use cases and also happy to share notes on what we see work well. Feel free to ping me (email in Bio)

Super cool! This aligns with our experiences. These tools are great and can get to near 100% of accuracy but it's quite a lot of work on the Eng side to get it there reliably.

Great to hear that you worked saw similar use cases. Doing this before LLMs seem like a big challenge.

Yes, we combine LLMs as a judge with traditional checks like reverse search in original data sources, defining your own post-processing logic, and simple classifier for confidence …

A few that we experience as we’re building Trellis out: 1. Managing end-to-end workflows from integrating with data sources, automatically triggering new runs when there’s new data…

Unstructured seems to be focusing a lot on the document chunking and data ingestion into RAGs part. Trellis handles the process end-to-end from extraction to transforming the data …

NER is good for really simple things (like getting names, addresses, etc.). A lot of the use cases that we see, like extracting data from nested tables in 100-page-long private cre…

Yes, HIPAA compliance is on the roadmap and should be out in a few weeks. We spent a lot of time on healthcare/sensitive data use cases. Google Document AI and Watson SDU seem to b…

Getting a lot of love from HN so the demo site and data processing might slow down by quite a bit. We're fixing it right now!

Good question and we have seen this extraction workflow a lot in financial services. We just added table mode to the product (select table in transformation parameters) where we ex…

Totally! The structured extraction from AI is only a small part in the product. Beyond the list above we also built 1. Custom validation that allows end users to validate outputs w…

Thanks! We also start to see the patterns where search systems are being improved with filters and hierarchy level metadata. Another use case that people use Trellis for is ingesti…

We face similar challenges you listed and handle all of the above. 1. Out of the box OCR doesn't perform as well for complex documents (with tables, images, etc.). We use vision mo…

Please let me know the issues and happy to get it set up correctly for you. I'm at mac@runtrellis.com

Thanks! Always surprised to see how many dodgy PDFs and scans there is in enterprises.