The future of artificial intelligence lies in solutions that are precise and reliable - and this is where RAG comes in. At Gyden, we combine generative AI with your company-specific knowledge to create real added value. Find out how RAG optimizes your processes and how we can support you.
Retrieval Augmented Generation: Your next step into the Gen AI future
With Retrieval Augmented Generation (RAG) and state-of-the-art AI development, we create intelligent, data protection-compliant and company-specific solutions for all industries.
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What is Retrieval Augmented Generation (RAG)?
Retrieval-Augmented Generation (RAG) extends generative AI models such as GPT-4 or Claude with content from your company's internal databases, documents or knowledge archives. This results in the following advantages:
Precise answers
Direct access to domain-specific expertise reduces the risk of “hallucinations” or outdated information.
Fast ROI
RAG solutions can be deployed quickly and deliver direct business benefits through targeted retrieval of specialist content.
High Flexibility
Whether finance, healthcare, tourism or the manufacturing industry - RAG can be flexibly adapted to your requirements.
Multilingual
In a country like Switzerland with German, French, Italian and English as national languages, RAG is ideal for delivering documents, chatbots or assistants in individual languages.
Innovation meets data security
Switzerland is a highly innovative country where companies are quick to adapt the latest technologies. At the same time, data security is a top priority. RAG offers the best of both worlds here:
Data protection & compliance
Many companies attach great importance to the protection of sensitive information. With RAG, you control which data is used for AI - in state-of-the-art cloud data centers with GDPR compliance.
Controlled training data
Your internal data is not used by AI model providers for their training. This means that your domain expertise remains entirely in your own hands.
Domain-specific know-how
Every industry has specific expertise and requirements. With RAG, you use your internal data in a targeted manner to obtain precise, controlled and contextually relevant answers - whether in the financial sector, healthcare or tourism.
Local languages & knowledge
With Retrieval Augmented Generation, you can access specific know-how in several languages (e.g. German, French, Italian, English) - ideal for the diverse Swiss market.
Use cases for retrieval augmented generation
Based on our high security standards and strict adherence to data protection regulations (including GDPR compliance), we develop versatile use cases that are precise, trustworthy and tailored to your industry.
Banking & Finance
Chatbots can be used to support customer service and compliance issues based on internal regulations and documentation. We ensure maximum trustworthiness and data security through strict compliance with data protection standards and banking guidelines.
Healthcare
Chatbots on patient or doctor portals can provide reliable answers from clinically verified data. Thanks to comprehensive GDPR compliance, we protect sensitive patient data and ensure secure communication at all times.
Education
Digital assistants help students who access university or college research data. At the same time, our AI solutions take the pressure off teaching staff and enable a motivating, interactive learning environment.
Gen AI chatbots - overhyped or indispensable?
Many people are currently talking about AI and generative AI - the hype is real. Nevertheless, purely generative models often reach their limits when timeliness, accuracy and context are crucial. This is where RAG scores:
- Practical application instead of just experimentation: RAG applications are not toys, but real productive solutions for complex challenges.
- Targeted data integration**: Instead of using huge data sets in an unstructured way, RAG focuses on retrieving relevant information. This saves resources and reduces errors.
- Optimal interaction with generative AI: RAG “feeds” your generative models with high-quality, verified expert knowledge - for technically correct and context-rich results.
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Specialized expertise & Swiss reliability
Gyden is your partner when it comes to setting up and implementing data protection-compliant and integrated RAG solutions.
Cloud Expertise
We rely on scalable native cloud technologies - such as AWS Bedrock - to operate your RAG applications securely and with high performance.
Data Privacy
We are familiar with the strict data protection requirements of the EU and Switzerland and will tailor your solution accordingly.
Localization
Whether German, French, Italian or English - we make sure that your RAG solution is multilingual and perfectly tailored to your target group.
Value-Driven
We don't do things by halves. Together, we evaluate the concrete benefits for your company and create solutions that pay off.
Agility
Unlike large consulting firms, we offer a high degree of specialization and short decision-making paths - for rapid and solid results.
Innovation & industry experience
Thanks to our experience in various industries - from finance and healthcare to tourism - you will benefit from practical expertise and creative ideas for innovative RAG solutions.
Are you ready for the next step in AI?
Let's find out together how Retrieval-Augmented Generation can help your company move forward. Contact us today for a no-obligation initial consultation or workshop - we look forward to hearing your ideas and challenges!
Falko Burghausen
Co-Founder
Retrieval Augmented Generation FAQ
What advantages does RAG offer me compared to purely generative AI models?
With RAG, you get more accurate and up-to-date results because the models are not just based on general knowledge, but on your own documents and data. This reduces misstatements (“hallucinations”) and keeps you contextualized and compliant at all times.
What exactly is Retrieval Augmented Generation (RAG)?
RAG is an approach that combines generative AI models (e.g. GPT-4) with company-specific data. Instead of answering purely “from the model”, RAG draws on internal knowledge sources before output to provide relevant and up-to-date information.
Is RAG also suitable for my company if I have to comply with strict data protection and compliance requirements?
Yes, especially in highly regulated industries - such as banking, healthcare or insurance - RAG scores highly. Since you control which data is available to the AI yourself, you can comply with GDPR requirements and other data protection guidelines more easily without having to do without AI-based solutions.
How quickly can I get started with a RAG solution?
This depends on your existing database and the integration requirements. Initial prototypes can often be implemented in just a few weeks. This is followed by fine-tuning, during which we smoothly integrate and optimize your systems.
How does Gyden differ from other providers in the RAG sector?
We specialize in cloud and AI solutions with a focus on the Swiss and EU market. We attach great importance to data protection, multilingualism and lean implementation processes. Our customers benefit from our agility and in-depth expertise, which is tailored to a wide range of industries.