The Enterprise RAG Challenge

On the lookout for the world's best AI chatbots

Connecting the brightest minds

Joining forces to create value for businesses

The Enterprise RAG Challenge establishes a platform where ideas, technologies, and talents come together—with a clear mission: to collaborate with AI experts worldwide in exploring diverse RAG approaches and identifying the best chatbots for businesses.

The Enterprise RAG Challenge by TIMETOACT GROUP Austria is more than just a competition—it’s a testament to our commitment to developing innovative AI solutions and pushing the boundaries of what AI can achieve.

Jörg Egretzberger CEO | TIMETOACT GROUP Österreich

How Our Clients Benefit from the Enterprise RAG Challenge

  • Technological Excellence

    The outcomes of the challenge provide us with valuable insights into how different RAG systems perform in complex scenarios. We leverage this knowledge to create solutions tailored precisely to your business challenges.

  • Practical Innovation

    The challenge’s real-world design tests technologies that can be applied directly in your business—whether for more efficient data analysis, optimized decision-making processes, or enhanced customer communication.

  • Advantage Through Knowledge

    By collaborating with diverse experts and talents, we enhance our offerings for you. The insights gained are directly integrated into our consulting and implementation projects, ensuring you benefit from the latest technological advancements.

  • Sustainable Competitive Advantage

    TIMETOACT GROUP Austria understands that our customers' success depends on their ability to innovate. That’s why we develop forward-thinking solutions that are not only technically impressive but also economically viable.

Would you like to participate in the Enterprise RAG Challenge?

Find more information about the process and registration here:

Insights

These are the proud winners of the Enterprise RAG Challenge

Discover the winners of the Enterprise RAG Challenge! Explore top RAG solutions, watch the official announcement, and see how AI-driven retrieval and LLMs shaped the best-performing models.

Insights

Team-Leaderboard of the Enterprise RAG Challenge

The team-leaderboard includes all submitted entries – including those submitted after the Ground Truth was released. Therefore, we consider this ranking an unofficial overview.

Blog 3/11/25

Answering Business Questions with LLMs

8th place in Enterprise RAG Challenge 2025: Answering Business Questions with LLMs

Blog

How I Won the Enterprise RAG Challenge

In this article, Ilia Ris describes the approach that helped him achieve first place in both prize categories and the overall SotA leaderboard.

Blog 10/4/24

Open-sourcing 4 solutions from the Enterprise RAG Challenge

Our RAG competition is a friendly challenge different AI Assistants competed in answering questions based on the annual reports of public companies.

Blog

AI for social good

Discover how leading companies are already profiting from Gen AI!

Blog

The ROI of Gen AI

Discover how leading companies are already profiting from Gen AI!

Event

Webinar Freshworks Freddy AI 22th Oktober 2024

Freddy AI - the AI for excellent customer service! Find out how easy Freddy can revolutionize your customer service in the free webinar!

Blog

Celebrating Homai - Using AI for Good

Our colleague Aigiz Kunafin has achieved an outstanding milestone - importance of his side-project Homai was acknowledged by the “AI for Good” Initiative of United Nations.

Blog 7/22/24

Let's build an Enterprise AI Assistant

Let’s take the basic principles of building AI assistants for a spin with a product case that we worked on: using AI to support enterprise sales pipeline.

Blog 7/22/24

So You are Building an AI Assistant?

So you are building an AI assistant for the business? This is a popular topic in the companies these days. Everybody seems to be doing that. While running AI Research in the last months, I have discovered that many companies in the USA and Europe are building some sort of AI assistant these days, mostly around enterprise workflow automation and knowledge bases. There are common patterns in how such projects work most of the time. So let me tell you a story...

Blog 1/13/21

My Workflows During the Quarantine

The current situation has deeply affected our daily lives. However, in retrospect, it had a surprisingly small impact on how we get work done at TIMETOACT GROUP Austria.

Blog

[Whitepaper] Google Workspace: A more secure alternative

Read the whitepaper to find out how Google Workspace's secure-by-design and secure-by-default architecture protects customers.

Headerbild von Enterprise Service Management
Service

Enterprise Service Management

Our Enterprise Service Management Solution offers you a way to make Service Management accessible to all participants via an easy-to-use service portal. You can map your processes in this portal according to defined procedures and connect them to other systems. In addition, you relieve the process participants through automation.

Blog 1/7/25

ChatGPT & Co: LLM Benchmarks for December

Find out which large language models outperformed in the December 2024 benchmarks. Stay informed on the latest AI developments and performance metrics.

Standort

Location in Vienna

Find the catworkx GmbH, CLOUDPILOTS Software & Consulting GmbH, IPG Information Process Group Austria GmbH and TIMETOACT GROUP Österreich GmbH in Vienna

Wissen 4/30/24

LLM-Benchmarks April 2024

This LLM Leaderboard from april 2024 helps to find the best Large Language Model for digital product development.

Blog 5/23/23

License Plate Detection for Precise Car Distance Estimation

When it comes to advanced driver-assistance systems or self-driving cars, one needs to find a way of estimating the distance to other vehicles on the road.

Headerbild zu Anwendungsmöglichkeiten von Atlassian
Service

Anwendungsmöglichkeiten

Learn how you can integrate Atlassian products into your daily business to make your processes more efficient.

Wissen 6/30/24

LLM-Benchmarks June 2024

This LLM Leaderboard from june 2024 helps to find the best Large Language Model for digital product development.

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