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PDFs are built for people, not machines. This makes them a nightmare to parse. In the new blog post, we unpack why PDFs are so tricky and how Unstructured turns visual chaos into clean, structured elements ready for AI pipelines. Read it here → unstructured.io/blog/how-to-pa…

📄 New to PDF parsing? Don't worry - we've got you! Join us today for a beginner-friendly webinar on how to parse PDFs for GenAI and search. We'll cover: 🔹 Why it's so hard to parse PDFs 🔹 How to break documents into structured elements like titles, tables, and images 🔹 What

RAG pipeline setup: 📂 Azure Blob → 🧠 Unstructured (VLM partitioner, chunker, embeder) → 🧾 IBM watsonx.data Fully automated, RAG-ready workflow in minutes. No brittle glue code. Get started: unstructured.io/blog/getting-s…

🔍 RAG isn't just retrieval + generation. Ingestion, extraction, chunking, embedding, indexing - each step directly affects your system’s performance. In this blog we unpack the essential preprocessing stages every RAG system needs: unstructured.io/blog/level-up-…

📚 Ready to go from messy unstructured data to a deployed AI assistant? Join Maria Khalusova from Unstructured & Prasad Kona from Databricks next Tuesday for a live session on how to build an end-to-end RAG pipeline using Unstructured + Databricks. 📆 When: Tuesday, May 20

📣 There's still time to register! Join our webinar with Databricks TOMORROW for a hands-on walkthrough of how to build a RAG application from start to finish. 📆 When: TOMORROW, May 20 at 10a PT / 1p ET 📍 Where: Live on Zoom In this session, Maria Khalusova from

Unstructured was featured in NVIDIA's keynote at #Computex2025! ⚡️ We’re proud to power the data layer of NVIDIA’s Enterprise AI Factory, transforming unstructured content into clean, structured inputs for GenAI. 👉 learn more: unstructured.io/blog/accelerat…

Be sure to catch our Head of Strategy, David Donahue, Jevin Jensen (IDC), and Phillip Zakahi (Boston Consulting Group) at the Red Hat Summit today talking about: → How teams are actually scaling enterprise AI → Navigating unstructured data → Aligning AI with long-term business value 📅 When:

🎉 Just a few more hours until our webinar with Databricks! Make sure to tune in as Maria Khalusova and Prasad Kona show you how to build a full RAG pipeline from start to finish. 📆 When: TODAY, May 20 at 10a PT / 1p ET 📍 Where: Live on Zoom There's still time to

💻 Tune into the Red Hat Summit keynote now! David Donahue, Head of Strategy, will be speaking about how Unstructured gets your data AI-ready. From pipelines to production, he’s covering what it really takes to go from raw documents to LLM-ready formats. Watch now! 👉

🚀 PDFs aren’t one-size-fits-all—and neither are the strategies to parse them. In Part 2 of our PDF processing series, we explore Fast, Hi-Res, VLM, and Auto strategies from Unstructured. Get the right output for the right use case. 📖 Read more: unstructured.io/blog/mastering…

We’re excited to be exhibiting at #SnowflakeSummit this year. Be sure to stop by Booth 2512 to talk with our team about how we get your messy, unstructured data AI-ready. 📆 When: June 2 - 5 📍 Where: Booth 2512 Register today! 👉 bit.ly/4jgLPlD #EnterpriseAI #AI

We’re gearing up for AI Engineer World’s Fair! Swing by Booth S14 to learn how we get your data AI-ready. 📆  When: June 2 - 5 📍  Where: Booth S14 Register today! 👉 ai.engineer #EnterpriseAI #AI #GenAI #ETL #RAG #UnstructuredData #LLM

Power up your GenAI apps! Our new blog post explores advanced data processing techniques for RAG, including Contextual Chunking, Multimodal Enrichments, and Named Entity Recognition. unstructured.io/blog/level-up-…

📣 Documentation Roundup – May 22, 2025 🧱 New Streamlit in Snowflake Example: - Build a Streamlit app in Snowpark that uses RAG and Snowflake Cortex with Unstructured-prepared data → bit.ly/4jkJ574 🚀 Improved IBM watsonx.data Performance: - Faster writes

Missed this week’s webinar with Databricks on end-to-end RAG? Don’t worry. We’ve got you covered! Maria Khalusova and Prasad Kona walked through how to: 🔹 Turn messy enterprise docs into structured, chunked data 🔹 Store + serve that data using Delta Tables and Vector Search

We’re excited to be exhibiting at Databricks Data + AI Summit again this year! 📆 When: June 10 - 12 📍 Where: Booth D106 in the AI Village 🎫 Register today: bit.ly/3HaDaUQ Christopher Maddock, Head of Product & Engineering, will also be speaking on Tuesday, June 10 about

AI infra can be kinda boring...but Brian Raymond brings it to life! Check out our interview with Brian and his take on - democratizing compute/model access - evolving AI architectures and why this matters for national security