Dr G

@drguthals

I'm Sarah, founding devrel engineer @tensorlake

Joined April 2009

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Dr G
@drguthals
May 15, 2025
I haven't posted yet about my new position because, no shade, I felt like the "I have a new role" just didn't do it justice. There are a lot of reasons I decided to join @tensorlake Here's a 🧵, but a huge part is this announcement today 👇 (1/4)
Tensorlake
@tensorlake
May 15, 2025
Announcing Tensorlake Cloud Up-leveling Document Ingestion and Workflows for building agentic applications and complex business workflows.
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Dr G
@drguthals
Nov 24, 2025
Quickly process SEC filings so that you can see what AI risks NYSE companies are considering
MotherDuck
@motherduck
Nov 21, 2025
Query unstructured documents with SQL?? We built a tutorial (complete with Colab notebook!) showing how Tensorlake and MotherDuck turn unstructured documents into analytics-ready datasets: 📄 Classify relevant pages in 100+ page SEC filings 🔍 Extract structured AI risk data
Dr G
@drguthals
Nov 5, 2025
We're the best in class document parsing API. You get all this 👇 out of the box, and with accuracy numbers to back it up, you can reliably parse complex documents and extract accurate date with ease. (link to our benchmarks in the comments)
Hasan Toor
@hasantoxr
Nov 5, 2025
Turn PDF files into clean, LLM-ready data. Tensorlake's new API organized our PDF files and significantly enhanced performance. It's the first system that effectively converts disorganized PDF files into structured data. Here's how it works in 3 steps:
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Dr G
@drguthals
Nov 5, 2025
It's time to start measuring accuracy of document parsing and data extraction with downstream systems and usability in mind, not just vanity metrics for a marketing slide
Tensorlake
@tensorlake
Nov 5, 2025
Document parsing benchmarks have been measuring the wrong thing. We tested every major parser on real enterprise documents. The results will change how you think about OCR accuracy 🧵
Dr G
@drguthals
Oct 23, 2025
Make your agents smarter with accurate and complete data Learn how to extract data from unstructured documents with @tensorlake , store them in @qdrant_engine, and then use @langchain for natural language querying. Check out our lesson 👇
Tensorlake
@tensorlake
Oct 23, 2025
Want to build scalable data lakes with Tensorlake + @qdrant_engine? In the free Qdrant Essentials Course, learn how to: - Architect vector-powered data lakes - Optimize ETL pipelines - Create knowledge graphs - Integrate @langchain agents for natural language querying Links