Dr G @drguthals
I'm Sarah, founding devrel engineer @tensorlake Joined April 2009-
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Dr G retweeted
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!
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Dr G retweeted
I found the secret to 10x any RAG application results. And it's not about using better models or any other complex setup. The secret is about augmenting your embeddings with the correct metadata. My clients never believe me when I tell them what I want to do, but it works…
Extract data you can trust. HITL isn't going anywhere, but we can still make it easier for humans to verify by providing citations.
Extract data you can trust. HITL isn't going anywhere, but we can still make it easier for humans to verify by providing citations.
Dr G retweeted
How do we trust data from AI Workflows? - We have heard this time and again from developers working in finance and healthcare. Today, we’re releasing citations for Structured Output in @tensorlake Now you can build verifiable AI workflows. Every field extracted has page number…
How do we trust data from AI Workflows? - We have heard this time and again from developers working in finance and healthcare. Today, we’re releasing citations for Structured Output in @tensorlake Now you can build verifiable AI workflows. Every field extracted has page number…
Trust. That's what is needed as we continue to build more complex AI workflows (especially in high-stakes use cases). Today we announced Citations for structured output 👇
Trust. That's what is needed as we continue to build more complex AI workflows (especially in high-stakes use cases). Today we announced Citations for structured output 👇
With robust, detailed, accurate representations of documents (including figure and table summaries) from @tensorlake, the semantic chunks from @ChonkieAI are significantly more useful for RAG. @doesdatmaksense walks through the benefits (including a colab notebook) 👇
With robust, detailed, accurate representations of documents (including figure and table summaries) from @tensorlake, the semantic chunks from @ChonkieAI are significantly more useful for RAG. @doesdatmaksense walks through the benefits (including a colab notebook) 👇
RAG isn’t dead. It was fun coming up with the colab notebooks for this one: Compare the claims made in news articles about Tesla with actual Tesla SEC filings 👀 Check out the thread and blog (with notebooks) 👇
RAG isn’t dead. It was fun coming up with the colab notebooks for this one: Compare the claims made in news articles about Tesla with actual Tesla SEC filings 👀 Check out the thread and blog (with notebooks) 👇
Dr G retweeted
Who's looking for a DevRel AI gig right now? I've got a cool lead I'd love to make introductions to! Message me 🫡 Or reply to this post with your work!
Dr G retweeted
If this gets 200 likes @shepsheplu will rename his project to YAGIZ. Let’s make this happen folks!!!! github.com/sheplu/YAGI/is…
I'm taking a course on RAG through Coursera and just learned about HyDE...That's so clever!
Get your data rag-ready 🔥
Dr G retweeted
Get RAG-ready data from any unstructured file! @tensorlake transforms unstructured docs into RAG-ready data in a few lines of code. It returns the document layout, structured extraction, bounding boxes, etc. Works on any complex layout, handwritten docs and multilingual data.
As Seen On Reddit is my new favorite thing to do. I also made a short video showing how easy it is to parse tables with Tensorlake 👀 (Notebook I used in the comments of the original post)
As Seen On Reddit is my new favorite thing to do. I also made a short video showing how easy it is to parse tables with Tensorlake 👀 (Notebook I used in the comments of the original post) https://t.co/RJjyDtGQna
Dr G retweeted
Stop parsing entire PDFs when you only need 3 pages. With Tensorlake, classify first, extract only what matters, route to the right next steps. Less noise. Lower costs. More efficient. Docs and notebook in the comments below 👇
The elegance of a single API call giving you everything you need in exactly the form you need it is just 🔥
The elegance of a single API call giving you everything you need in exactly the form you need it is just 🔥
Dr G retweeted
A customer building an insurance platform shared this with us last month: “The biggest lift with Tensorlake is that our engineering team can evolve our document extraction schema weekly, without slowing down dev velocity.” This is what AI adoption in the enterprise actually…
Get RAG without the RAGged edges
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