Precision context engineering starts with robust, enterprise-grade RAG. When retrieval is accurate, structured, and governed, every downstream AI system becomes more reliable, explainable, and compliant. That’s the promise of RAG using the Unstructured ETL+ platform: - Process 65+ file types into structured, searchable context - Enrich with metadata and structure-aware chunking - Enforce SOC 2, HIPAA, and GDPR compliance at the source - Scale horizontally across workloads — securely and predictably Ready to level up your use case's context engineering? Join us for tomorrow's webinar: Context Engineering with Precision over Mixed Content. You'll learn how Unstructured enables precision RAG — turning messy, mixed enterprise content into production-grade context engineering. Because context quality is only as strong as its retrieval layer.
How to Achieve Precision RAG with Unstructured ETL+
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Broken pipeline? Missed SLA? Data discrepancies — again? Everyone wants the shiny AI features. Few want to talk about maintenance and support. But here’s the truth: maintaining data pipelines, handling API changes, migrating databases, establishing proper documentation — this is the work that makes all the fancy stuff even possible. It’s not flashy. It’s not fun. But it’s what earns trust in the data. And without trust, all the dashboards and AI insights don’t matter. So when you’re buying a new tool, don’t just ask what it does. Ask how it will be supported when (not if) things break.
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Dedicated to partnering with Financial Services organizations to innovate and solve transformational problems.
How do you extract structured insights from 40-page PDFs filled with tables and ESG metrics? EY built a generative AI tool using Elastic’s Search AI Platform with RAG architecture with vector search, multi-format doc parsing (PDFs, tables, ESG data), and built-in observability and security solutions. The result? 👉Compliance reporting time was cut by 3x. 👉Extraction accuracy was boosted by up to 15%. If you're working with massive amounts of unstructured data and want to quickly find insights, check out this case study: https://gag.gl/H7whVB
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How do you extract structured insights from 40-page PDFs filled with tables and ESG metrics? EY built a generative AI tool using Elastic’s Search AI Platform with RAG architecture with vector search, multi-format doc parsing (PDFs, tables, ESG data), and built-in observability and security solutions. The result? 👉Compliance reporting time was cut by 3x. 👉Extraction accuracy was boosted by up to 15%. If you're working with massive amounts of unstructured data and want to quickly find insights, check out this case study: https://gag.gl/H7whVB
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Business Development Specialist with 6+ years of experience in Saas products in APAC and EMEA region
How do you extract structured insights from 40-page PDFs filled with tables and ESG metrics? EY built a generative AI tool using Elastic’s Search AI Platform with RAG architecture with vector search, multi-format doc parsing (PDFs, tables, ESG data), and built-in observability and security solutions. The result? 👉Compliance reporting time was cut by 3x. 👉Extraction accuracy was boosted by up to 15%. If you're working with massive amounts of unstructured data and want to quickly find insights, check out this case study: https://gag.gl/H7whVB
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How do you extract structured insights from 40-page PDFs filled with tables and ESG metrics? EY built a generative AI tool using Elastic’s Search AI Platform with RAG architecture with vector search, multi-format doc parsing (PDFs, tables, ESG data), and built-in observability and security solutions. The result? 👉Compliance reporting time was cut by 3x. 👉Extraction accuracy was boosted by up to 15%. If you're working with massive amounts of unstructured data and want to quickly find insights, check out this case study: https://gag.gl/H7whVB
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How do you extract structured insights from 40-page PDFs filled with tables and ESG metrics? EY built a generative AI tool using Elastic’s Search AI Platform with RAG architecture with vector search, multi-format doc parsing (PDFs, tables, ESG data), and built-in observability and security solutions. The result? 👉Compliance reporting time was cut by 3x. 👉Extraction accuracy was boosted by up to 15%. If you're working with massive amounts of unstructured data and want to quickly find insights, check out this case study: https://gag.gl/H7whVB
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Sales Engineering | AI ML | Solution Architecture | Global Systems Integrator | Analytics
How do you extract structured insights from 40-page PDFs filled with tables and ESG metrics? EY built a generative AI tool using Elastic’s Search AI Platform with RAG architecture with vector search, multi-format doc parsing (PDFs, tables, ESG data), and built-in observability and security solutions. The result? 👉Compliance reporting time was cut by 3x. 👉Extraction accuracy was boosted by up to 15%. If you're working with massive amounts of unstructured data and want to quickly find insights, check out this case study: https://gag.gl/H7whVB
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Driving Sales in South Africa and Africa | Elastic delivers complete Cloud based AI-Powered Solutions for Enterprise Security, Observability/APM and Search
How do you extract structured insights from 40-page PDFs filled with tables and ESG metrics? EY built a generative AI tool using Elastic’s Search AI Platform with RAG architecture with vector search, multi-format doc parsing (PDFs, tables, ESG data), and built-in observability and security solutions. The result? 👉Compliance reporting time was cut by 3x. 👉Extraction accuracy was boosted by up to 15%. If you're working with massive amounts of unstructured data and want to quickly find insights, check out this case study: https://gag.gl/H7whVB
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Technology and Services Executive | CTO | exSalesforce | exCapgemini | Servant leader
How do you extract structured insights from 40-page PDFs filled with tables and ESG metrics? EY built a generative AI tool using Elastic’s Search AI Platform with RAG architecture with vector search, multi-format doc parsing (PDFs, tables, ESG data), and built-in observability and security solutions. The result? 👉Compliance reporting time was cut by 3x. 👉Extraction accuracy was boosted by up to 15%. If you're working with massive amounts of unstructured data and want to quickly find insights, check out this case study: https://gag.gl/H7whVB
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Register for the webinar here! 🔗 https://unstructured.io/events/context-engineering-with-rag-precision-retrieval-across-diverse-data