unstructured.io

🎉 We're thrilled to announce the launch of Unstructured’s new Enterprise ETL Platform that automates the complex process of transforming unstructured data in any format and from any source to your GenAI stack. 🚀 🔥 Features: - No-code UI - VLM data transformation - Continuous data processing on your schedule - In-VPC deployment option - SOC 2 Type 2, HIPAA, & GDPR compliance - 50+ connectors Check out our new Platform video to learn more. https://lnkd.in/esPAMfg2 👉Contact us to get started: https://lnkd.in/entVRx7m #WhateverItIsWeCanStructureIt

🚨 Friday notebook drop: Multimodal RAG: Enhancing RAG outputs with image results For this demo, we used the widely read The Illustrated Transformer by Jay Alammar to perform visually-enriched QnA. This blog post is famous for how well it illustrates the concepts behind the ubiquitous transformer architecture. So why shouldn't your RAG flow include these insightful images in the output? blog: https://lnkd.in/gi6-AQB2 notebook: https://lnkd.in/gprNmzWX

With Unstructured Platform for developers, you pay as you go, and only for the document pages that you process. A question that we often get is - with all the different file types that Platform supports, how do you define “pages” for documents that don’t necessarily have pages? The answer is in our documentation, but it’s worth highlighting: We calculate a page as follows: 🧮 For these file types, a page is a page, slide, or image: .pdf, .pptx, and .tiff. 🧮 For .docx files that have page metadata, we calculate the number of pages based on that metadata. 🧮 For all other file types, we calculate the number of pages as the file’s size divided by 100 KB. 🧮 For non-file data, we calculate a page as 100 KB of incoming data to be processed. https://lnkd.in/guGPReqS

Build Production-Ready ETL Pipelines for RAG in 10 Minutes with Unstructured!   Join us next Wednesday, December 18th for a hands-on technical webinar with Unstructured’s engineers, showing you how to leverage Platform with Ragas to quickly build pipelines and evaluate accuracy using the latest Llama 3.2. We will transform data in an Amazon Web Services (AWS) S3 bucket to a Pinecone vector database using no code!   Sign up today at https://lnkd.in/gCRtmz6e

🎥 Unstructured re:Invent 2024 talk recording 🎥 Missed AWS re:Invent 2024? Check out our lightning talk on refining RAG performance! Learn how Unstructured makes unstructured data ready for foundation models through seamless ingestion and preprocessing. Watch it here:  https://lnkd.in/et5u_9bH

90% of enterprise data is unstructured—PDFs, emails, support tickets. At Unstructured, we're turning scattered unstructured data into AI fuel. Don’t let critical business information disappear in silos. Ingest, transform, and continuously feed your RAG with your organizational knowledge: https://lnkd.in/esPAMfg2 WSJ article highlighting the exact issue Unstructured Platform solves: https://lnkd.in/ex4h-N9b

Check out our latest blog, a step-by-step tutorial on how to use Unstructured Platform to build an end-to-end RAG chatbot for your personal e-book collection. This tutorial combines the Unstructured Platform for ETL and MongoDB for vector storage, and outlines all the steps in processing files with our just-launched Platform. 📖 : https://lnkd.in/ghkHKNw2

🚀 Unlock the power of document parsing with Milvus and unstructured.io! 📚 Our guide shows you how to build a robust RAG pipeline: 1️⃣ Parse PDFs and extract document chunks with unstructured.io 2️⃣ Store and search embeddings in Milvus vector database 3️⃣ Generate AI responses with OpenAI 🔍 👨💻 Check out our step-by-step tutorial on how to process, index, and retrieve information from your documents! https://lnkd.in/gA8NJmD9 #Milvus #RAG #UnstructuredData #VectorDB

Processing enterprise data for GenAI requires robust security and compliance measures. That's why we've built our Unstructured Platform with security and compliance at its core. Enterprise-grade security features 🛡️  - SOC 2 Type 2, HIPAA and GDPR compliance - Comprehensive encryption - In-VPC deployment option 👉Contact us to get started: https://lnkd.in/esPAMfg2 #WhateverItIsWeCanStructureIt

📣 Don't miss Maria Khalusova at #AWSreInvent2024 talking about building RAG with unstructured data on Dec 5th at DataStax booth 1328 at 10:30am PT.