Guides

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2024 Gartner® Cool Vendors™ Report in AI Engineering

deepset has been recognized as a 2024 Gartner® Cool Vendor in AI Engineering. We believe this recognition validates our innovative AI approach and our team's hard work in empowering enterprise AI adoption.

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Gartner AI Opportunity Radar: Set Your Enterprise’s AI Ambition

Executive leaders and their teams can use the Gartner AI Opportunity Radar to investigate possible use cases and transformational opportunities for their enterprise.

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Playbook: Outcomes-Based AI

AI prototyping laid the groundwork. Now it’s time to deliver measurable impact. deepset's Outcomes-Based AI Playbook is your strategic framework to scale AI with purpose and prove ROI.

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Strategy

Whitepaper: Einsatz- und Akzeptanzanalyse von KI-basierten Wissenszugängen in KMU am Beispiel einer semantischen Suche

Das KIWise-Whitepaper 2025 hebt hervor, dass viele KMU immer noch Schwierigkeiten haben, den Schritt vom Bewusstsein für KI zur Umsetzung von KI zu vollziehen. Lesen Sie den Leitfaden, um zu erfahren, welche konkreten Maßnahmen KMU ergreifen können, um wirkungsvolle KI-Anwendungen erfolgreich einzusetzen.

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White Paper: Transform Complex Document Analysis Workflows with Generative AI

Discover how LLM-powered Intelligent Document Processing delivers 40% faster analysis while improving accuracy and driving revenue growth. Explore real-world examples from finance, legal, and real estate sectors that are successfully transforming their document workflows.

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O’Reilly Technical Guide: RAG in Production with Haystack

Building Trustworthy, Scalable, Reliable, and Secure AI Systems - Access this O’Reilly resource for a step-by-step guide on how to build enterprise-grade AI Retrieval-Augmented Generation (RAG) applications with Haystack, deepset’s easy to use framework for modular LLM orchestration.

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White Paper: Leading a Successful AI Team

Learn how your organization can realize the full potential of AI with the right team in place.

White Paper

NLP for Product Managers

Many product managers and product owners are facing an enormous challenge when starting to build an NLP-enabled application to be used in an enterprise environment. Often it's not even clear how to approach the NLP product development lifecycle. Read our guide for a 101 crash course in modern NLP product development.

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Building with LLMs

This ebook introduces the basic concepts from the world of LLMs in an accessible language and presents the tools to design, build and maintain an end-to-end application that's driven by LLMs.

White Paper

Accelerate your Gen AI journey with deepset.

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