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

📚 Back to basics: let’s talk about chunking for RAG. What is the optimal chunk size? What is the best method for splitting text? These decisions can significantly impact the performance of your RAG system.   Check out this blog post to understand why careful consideration is important when chunking, what common approaches exist, and how to find the best chunking strategy: https://lnkd.in/eGNvyuJz

Need help setting up Azure Database for PostgreSQL to work with the Unstructured Platform? We got you! Watch this 5-minute video on YouTube to learn what you need to do and what credentials you’ll need to obtain: https://lnkd.in/eGZzzS-m

🚧 One of the biggest hurdles to deploying RAG in production? Enterprise data trapped in silos.   Unstructured Platform’s extensive ecosystem of connectors solves this issue: * Over 70 pre-built connectors you won’t need to build and maintain   * Standardized data loading from any enterprise source of knowledge, transforming content into a unified format   * Push processed data into your favorite tools: vector DBs, search services, cloud storage, and more Benefits:  ⚡ Velocity: Slash months of dev time by building pipelines with a few clicks.   🔒 Security: All connectors prioritize security, with no data persistence, end-to-end encryption, and secure credential handling.   ✨ Quality: Transform, enrich, and extract metadata for clean, RAG-ready data.   📈 Scale: Production-grade scaling and scheduling handle even your largest workloads.   💰 Cost: Optimize data syncs with smart cost-saving measures. 👉 Check out our new blog post to learn more about data connectors and why they matter: https://lnkd.in/eYWBNdfT

Learn how to send your files and data processed by Unstructured into a MotherDuck account by using Unstructured Ingest v2:  https://lnkd.in/eP3b-BPe

Unstructured is proud to integrate with Unity Catalog, the foundation for breaking down data silos and accelerating AI/ML workflows. Our unstructured data ETL workflows help enterprises transform raw data into RAG-ready formats, seamlessly aligning with Unity Catalog’s vision of a single, authoritative source of truth. Learn about Unstructured Platform's source and destination connectors for Databricks Volumes here:  * https://lnkd.in/eMVhV9GU * https://lnkd.in/ei49V2Qt

Honored to be recognized by WashingtonExec as one of the Top Public Sector Leaders to Watch in 2025! At unstructured.io, we are redefining how organizations prepare their data for large language models, enabling scalable and effective retrieval-augmented generation (RAG) solutions. This recognition is a reflection of the incredible work our team does every day to tackle one of the most pressing challenges in AI: making unstructured data usable and actionable for LLMs. Here’s to continuing the journey of innovation in 2025 and beyond!

New Graph RAG blog alert 📔! Check out DataStax's latest blog post to see how to implement Graph RAG with Unstructured Platform + Astra DB. And check out our webinar on this topic at 9 am PT tomorrow for even more info! blog: https://lnkd.in/gA999Hkq Webinar registration: https://lnkd.in/gx7A-_Kx

📗 Unstructured documentation goes above and beyond to help you build data transformation pipelines successfully. Here’s a quick 3-minute video showing how to use the psql utility to work with PostgreSQL as a destination in the Unstructured Platform: https://lnkd.in/eBGDSimj

Folks at Hugging Face recently released a new library for building agents called `smolagents`. I've created a notebook that illustrates how to build Agentic RAG with it on a bunch of PDF reports, and how it performs compared to Vanilla RAG. Check it out.