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:

Register Now
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 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.
Blog 10/1/24

ChatGPT & Co: LLM Benchmarks for September

Find out which large language models outperformed in the September 2024 benchmarks. Stay informed on the latest AI developments and performance metrics.
Blog 7/22/24

Let's build an Enterprise AI Assistant

In the previous blog post we have talked about basic principles of building AI assistants. Let’s take them for a spin with a product case that we’ve worked on: using AI to support enterprise sales pipelines.
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 12/4/24

ChatGPT & Co: LLM Benchmarks for November

Find out which large language models outperformed in the November 2024 benchmarks. Stay informed on the latest AI developments and performance metrics.
Blog 5/16/24

Common Mistakes in the Development of AI Assistants

We share how failures when implementing AI occurr and what can be learned from them for future projects: So that AI assistants can be implemented more successfully in the future!
Blog 11/12/24

ChatGPT & Co: LLM Benchmarks for October

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

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.
Blog 2/3/25

ChatGPT & Co: LLM Benchmarks for January

Find out which large language models outperformed in the January 2025 benchmarks. Stay informed on the latest AI developments and performance metrics.
Wissen 8/30/24

LLM-Benchmarks August 2024

Instead of our general LLM benchmarks, we present the first benchmark of different AI architectures in August.
Wissen 7/30/24

LLM-Benchmarks July 2024

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

Wissen 5/30/24

LLM-Benchmarks May 2024

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

Blog 5/17/24

8 tips for developing AI assistants

8 practical tips for implementing AI assistants
Blog 10/30/24

Second Place - AIM Hackathon 2024: Trustpilot for ESG

The NightWalkers designed a scalable tool that assigns trustworthiness scores based on various types of greenwashing indicators, including unsupported claims and inaccurate data.
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 3/17/22

Using NLP libraries for post-processing

Learn how to analyse sticky notes in miro from event stormings and how this analysis can be carried out with the help of the spaCy library.
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...
Kompetenz

Business Innovation & Digital Transformation

The Pressure to increase efficiency and reduce costs is increasing ► Are you familiar with this? Exploit the potential of digitalization