Unstract

?? Unstructured Data ETL with Unstract & Snowflake Unstructured data—like PDFs, images, emails, and social media posts—is one of the biggest challenges in today’s data-driven world. Unlike structured data, it’s hard to process, extract insights from, and integrate into analytics workflows. That’s where Unstract and Snowflake come in: ? Unstract: AI-powered extraction that transforms unstructured documents into structured data, ready for ETL workflows. ? Snowflake: A cloud-based data warehouse that seamlessly stores and analyzes structured and semi-structured data like JSON. Together, they create a powerful ETL solution that unlocks the full potential of unstructured data, driving smarter decisions and operational efficiency. ?? Read this blog by Nuno Bispo: https://lnkd.in/gGPqKhDq

There are so many tools for ETL, but which one fits YOUR use case? ?? Milvus has compared the most popular document processing and ETL tools for RAG, and here are our findings. While they serve different purposes, all integrate with Milvus and Zilliz Cloud. Read more: https://lnkd.in/gs-Z7RmP

?? Did you know that 80% of information from business documents remains dark data? Document data processing has long been a challenge, but emerging GenAI and LLM capabilities are changing that. In our upcoming webinar by Mahashree Shanmugam, we introduce Unstract as an answer to your document processing needs! Key aspects of this webinar: ?? An in-depth understanding of modern document processing challenges ?? Unstract’s no-code prompt engineering environment to structure data from documents, no matter their layout or design ?? Layout-preserving text extraction with LLMWhisperer for LLM-ready formats ?? Flexible deployment and automation of workflows to fit into your existing systems ?? Capabilities that improve output accuracy by preventing LLM hallucinations ?? Optimization techniques to reduce LLM costs while maximizing results Register now and get ready to mine your document data and transform business operations! #unstructureddata #etl #webinar #llms

Docling vs. LLMWhisperer – Which PDF Parser?is right for you? ?? Document Parsing has undergone a dramatic transformation over the years, revolutionizing how we handle printed text. What started as basic pattern-matching tools has evolved into powerful systems capable of interpreting everything from pristine printed documents to messy handwritten notes. ?? A key challenge in this evolution has been maintaining the document's original layout. Whether it’s for archiving, data extraction, or integrating with modern AI systems, preserving structure and formatting is crucial for many applications. Two noteworthy players in this space are IBM's Docling and Unstract's LLMWhisperer, each offering unique strengths in document parsing. ?? Docling is focused on converting documents into markdown while preserving layout integrity. Its ability to retain formatting is perfect for documents like purchase orders and reports. However, when it comes to handling scanned documents, handwritten content, or images, Docling tends to fall short. ?? LLMWhisperer, in contrast, doesn’t just handle printed text—it excels at recognizing handwriting and extracting complex data like tables, forms, checkboxes, and radio buttons. Its context-aware processing means it can handle a wide range of document types with minimal pre- or post-processing, making it highly versatile. In this post by Nuno Bispo, we’ll: ??Walk through the setup and features of Docling and LLMWhisperer. ??Test them with real-world documents—like purchase orders, handwritten notes, and forms with checkboxes. ??Compare their performance, pricing, and capabilities to help you decide which tool fits your needs. Ready to find out why LLMWhisperer might just be the game-changer your next project needs? Let’s dive in! https://lnkd.in/dr2za2fU

?? Unstructured Data ETL with Unstract ?? Dealing with unstructured data is one of the biggest challenges in today’s data-driven world. PDFs, images, emails, and videos don’t fit neatly into tables, making it tough to extract insights. That’s where Unstract comes in. It transforms unstructured data into structured formats using AI-powered extraction. Whether it’s processing PDFs or integrating with diverse data pipelines, Unstract simplifies ETL for unstructured sources. We’re close to 5K GitHub stars! ?? If Unstract sounds useful, check it out and give us a ?: ??https://lnkd.in/gR45gd6N #UnstructuredData #ETL #AI #DataEngineering

Want to transform unstructured data into meaningful insights using LLMs? In this video by SkillCurb, explore Unstract, a powerful LLM-powered data structuring tool that simplifies data processing without complex coding. https://lnkd.in/g3dDtPbt

?? Extracting tables from PDFs in Python—what's the best way? NeuralNine breaks it down in this video, comparing Camelot, Tabula, PDFPlumber, PyPDF2, and Unstract’s LLMWhisperer. Which one gets the job done best? Watch to find out! https://lnkd.in/gUwf8G3J

?? Extract, Transform, and Load (ETL) is a process that moves data from various sources, transforms it into a usable format, and loads it into a target system. ?? ETL processes were built for structured data, using predefined schemas and rigid transformations. As a result, they struggled with the complexity and variability of unstructured data. Modern ETL tools use advanced techniques like natural language processing (NLP) and machine learning (ML). ?? These capabilities enable unstructured data to be processed, standardized, and stored efficiently in vector databases. This blog by Zilliz explores ETL tools for unstructured data, key challenges, and how to choose the right tool for your use case. https://lnkd.in/gBxJVVWb

Watch Santiago Valdarrama talk about how you can build ETL pipelines to transform UNSTRUCTURED data with Unstract.

Intelligent Document Processing with No-Code LLM Platform Unstract Manually processing complex documents like contracts, invoices, and medical records is time-consuming, costly, and prone to errors. Unstract, a no-code AI-powered platform, simplifies document processing using LLMs and advanced OCR techniques, automating everything from ingestion to export. This blog covers how Unstract works, an overview of LLMWhisperer, and a hands-on implementation to show its real-world impact. Read the full blog here: https://lnkd.in/ga4vTyuc Shuveb Hussain #llm #nocode