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Tensorlake

@tensorlake.ai
43 followers 7 following 56 posts
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Reposted by Tensorlake
Henning @radbrt.eurosky.social · 05/11/2025
The tensorlake playground was, unlike AWS textract and every other tool I have tried, able to parse my angled, low-quality scan of Norwegian pay statistics from 1926. Not that 1926 Norwegian statistical tables is a generally useful benchmark…
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Tensorlake @tensorlake.ai · 05/11/2025
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 🧵
Two dense document pages flank a skeptical person’s sticker-style portrait against a green gradient, link text centered below.
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Tensorlake @tensorlake.ai · 23/10/2025
Want to build scalable data lakes w/ Tensorlake + @qdrant.bsky.social? In the free Qdrant Essentials Course, learn how to: - Architect vector-powered data lakes - Optimize ETL pipelines - Create knowledge graphs - Integrate @langchain.bsky.social agents for natural language queries t.co/OoPZswrL7z
Promotional banner for the Qdrant Essentials Course featuring Tensorlake. Text reads: ‘Improve collection querying with knowledge graphs.’ On the left is the Qdrant logo and course title; on the right is a smiling woman with long curly brown hair wearing a cream-colored top, set against a purple gradient grid background.
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Tensorlake @tensorlake.ai · 16/10/2025
New: Vision Language Models now power key document processing features We're using VLMs for: - Page classification in large documents - Table/figure summarization - Fast structured extraction (skip_ocr mode) Here's what this means for document processing 🧵
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Reposted by Tensorlake
David Calavera @calavera.dev · 14/10/2025
The company I work for, @tensorlake.ai, is hiring a couple of roles remote within the US: tensorlake.ai/careers You might be a great fit if you like working with Rust, Python, K8s, me?, and you enjoy building products for developers.
tensorlake.ai
Tensorlake
Transform Data Into Knowledege
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Tensorlake @tensorlake.ai · 10/10/2025
Most parsers strip all tracked changes when you extract the text. That means: ❌ Lost audit trails ❌ Manual review of revision history ❌ No programmatic access to reviewer comments ❌ Workflows that can't route based on specific edits
Tensorlake interface showing parsed Word document with tracked changes preserved as HTML tags, displaying an insurance claim report
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Tensorlake @tensorlake.ai · 02/10/2025
OCR engines constantly mess up document hierarchy. Section 2.2 becomes a top-level header (##) instead of nested (###). We just shipped automatic header correction. 🧵 How it works:
Comparison of document header detection. Left side "Just OCR" shows incorrect hierarchy with section 2.2 at wrong indent level. Right side "Header Correction" shows proper nesting where 2.2 is correctly indented under section 2. Bottom shows Python code: doc_ai.parse_and_wait() with cross_page_header_detection=True parameter. Green gradient background with Tensorlake logo.
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Tensorlake @tensorlake.ai · 19/09/2025
Citations. When users ask "where did this come from?" your system should point to the exact page fragment...not just "file_name.pdf". Built citation-aware RAG with spatial metadata has: → Parse docs with bounding boxes → Embed citation anchors in chunks → Return page numbers + coordinates A 🧵
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Reposted by Tensorlake
David Calavera @calavera.dev · 15/09/2025
Job update: a couple of weeks ago, I joined @tensorlake.ai full time. I’m having a lot of fun building the product with @diptanu.bsky.social and the rest of this wonderful team. We have a few open positions if you’d like to work with us: www.linkedin.com/jobs/search/...
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Tensorlake @tensorlake.ai · 11/09/2025
In finance, clinical trials, or performance benchmarks, dense tables contain mission-critical data. But flatten that data like most parsers do and trust is lost. Tensorlake restores trust by preserving structure, generating summaries for effective embeddings, and attaching evidence via b-boxes.
Side-by-side comparison of a dense healthcare data table in PDF format and its structured DataFrame output. A green background with the Tensorlake logo shows an arrow pointing from the PDF to the DataFrame. The caption reads “Parse Dense Tables Reliably” with the link “tlake.link/blog/dense-tables” at the bottom.
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Tensorlake @tensorlake.ai · 11/09/2025
“Because the AI said so” isn’t good enough. Every answer should come with receipts (citations + context). Learn how to make your AI correct and verifiable in this month’s Document Digest newsletter 👇
tlake.link
The Document Digest by Tensorlake
Product updates and dev insights from the Tensorlake team.
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Tensorlake @tensorlake.ai · 05/09/2025
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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Tensorlake @tensorlake.ai · 05/09/2025
To build trustworthy AI, your data needs proof. Get citations for every field extracted with Tensorlake. Read the blog and try our citations with the example notebooks: tlake.link/blog/citations
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Tensorlake @tensorlake.ai · 21/08/2025
“RAG is dead” is lazy. What’s dead is cosine‑N without a retrieval plan. We ship advanced RAG...out of the box: • Classify pages → target sections • Extract structured fields → filter by form_type, fiscal_period • Verify data; cite page/bbox Want to know how? 🧵👇
Screenshot of a Tensorlake blog post titled Accelerate Advanced RAG with Tensorlake by Dr. Sarah Guthals, dated August 19, 2025. The header image reads ‘RAG isn’t dead, undisciplined retrieval is’ with a green wave design and Tensorlake logo. The page shows the TL;DR summary emphasizing the need for a retrieval plan over naive Top-N cosine RAG, and a table of contents with sections on the Freshness Principle, Accelerate Advanced RAG, a real-world application fact-checking Tesla SEC filings, and treating context as a hard requirement.
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Tensorlake @tensorlake.ai · 29/07/2025
Build a smart real estate agent (no license required). 🧠 LangGraph (by @langchain.bsky.social) + 📝 Tensorlake Contextual Signature Detection = ✅ Knows who signed ✅ When they signed ✅ If it’s ready to close Full tutorial + code linked below 👇
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Tensorlake @tensorlake.ai · 14/07/2025
Most "unstructured" parses fail on when layout gets tricky: multiple columns, fragmented text blocks, mixed reading order Tensorlake doesn't. ✅ Authors parsed as one clean chunk ✅ Abstract follows, exactly as it should Unstructured ≠ unordered Preserve reading order. Parse with Tensorlake.
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Tensorlake @tensorlake.ai · 12/06/2025
Want to see the tool in action? Check out this quick demo or try it out in the Colab Notebook (linked in the comments)
youtube.com
LangChain + Tensorlake: Unlocking Document Understanding for Agents
YouTube video by Tensorlake
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Tensorlake @tensorlake.ai · 11/06/2025
Just published 🐦‍⬛ langchain-tensorlake 💚 A new @langchain.bsky.social tool to parse real-world documents (PDFs, scans, forms) with Tensorlake & feed structured data right into your agents. Built for devs wrangling docs in legal, finance, healthcare & more. Learn more: tlake.link/langchain-tool
tensorlake.ai
Tensorlake
Transform Data Into Knowledge
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Tensorlake @tensorlake.ai · 05/06/2025
Build a smart real estate agent (no license required). 🧠 LangGraph (by @langchain.bsky.social) + 📝 Tensorlake Contextual Signature Detection = ✅ Knows who signed ✅ When they signed ✅ If it’s ready to close Full tutorial + code linked below 👇
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Tensorlake @tensorlake.ai · 28/05/2025
That one missing signature? It might delay a claim or void a contract Now in Tensorlake: Contextual Signature Detection → Detect handwritten, typed, or image-based → Trigger routing, alerts, or human review → API + SDK + Playground Read the full blog post tlake.link/signature-de...
tlake.link
Tensorlake
Transform Data Into Knowledege
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Tensorlake @tensorlake.ai · 17/05/2025
21 hours later and we’re in the top 5 on Product Hunt! 🚀 Huge thanks to everyone who supported, upvoted, and shared 💚 Tensorlake is just getting started. Stay tuned - there’s so much more to come. P.S. There's still time to upvote our launch and let us know your thoughts 👇 #AI #RAG #LLM #devtools
producthunt.com
Tensorlake - Parse documents like a human & build Python-based workflows | Product Hunt
Tensorlake Cloud is a platform for document ingestion and data orchestration. Parse real-world documents with human-like layout understanding and build Python-based workflows at scale and ready for pr...
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Tensorlake @tensorlake.ai · 16/05/2025
🚀 We’re in the top 3 on Product Hunt today just 6.5 hours after launch! Huge thanks to everyone supporting Tensorlake 🎉 From devs wrangling PDFs to teams automating high-stakes workflows. If you haven’t yet, check us out 👇
Bright green graphic with the Product Hunt logo featuring a cat wearing Google Glass at the top. Below it, large bold black text reads: “We Are Live on Product Hunt.” At the bottom of the image is the Tensorlake logo and name in white.
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Tensorlake @tensorlake.ai · 16/05/2025
We just launched Tensorlake Cloud on Product Hunt 🎉 If you’ve dealt with messy document workflows and trying to parse complex documents (insurance claims, financial docs, multi-page forms), this is for you. Would love your support 💚 www.producthunt.com/products/te...
Bright green graphic with the Tensorlake logo at the top. Below it is the iconic Product Hunt cat wearing Google Glass, surrounded by a black circle. The text beneath the cat reads: “We are live on Product Hunt” in bold, black uppercase letters.
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Reposted by Tensorlake
Chris @chris.blue · 15/05/2025
🔥 @diptanu.bsky.social has launched the cloud hosted version of Tensorlake. This looks pretty magical. The Pydantic support is so cool. Reminds me of @prefect.io's Marvin API. But Tensorlake purpose-built parsing for structured PDF (and other) documents.
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Tensorlake @tensorlake.ai · 15/05/2025
Announcing Tensorlake Cloud Up-leveling Document Ingestion and Workflows for building agentic applications and complex business workflows. www.youtube.com/shorts/OCv-...
youtube.com
🚀 Tensorlake Cloud is Here: Document Ingestion and Orchestration for AI Workflows
Tired of brittle pipelines and unreliable document parsing? Tensorlake is the only platform built for mission-critical document ingestion and orchestration i...
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