Retrieval Augmented Generation (RAG)
Combine GenAI with your internal company knowledge
Large generative AI language models have huge potential and are already part of our everyday (working) lives. But what about aspects such as trust, accuracy and explainability? The RAG approach addresses these and makes the use of large language models safer.
We develop your generative AI solution with RAG functionality, from conception and data connection through to implementation and secure operation.
Retrieval Augmented Generation
Combine GenAI with your internal company knowledge
Large generative AI language models have huge potential and are already part of our everyday (working) lives. But what about aspects such as trust, accuracy and explainability? The RAG approach addresses these and makes the use of large language models safer.
We develop your generative AI solution with RAG functionality, from conception and data connection through to implementation and secure operation.
We develop your individual RAG solution
RAG combines the skills that an LLM has acquired during their training with domain-specific knowledge. The commonly available training data from the internet is therefore extended with your information. Data sheets and operating instructions for your products or your internal wiki: The RAG approach takes your knowledge management to the next level, simplifies the process of finding solutions in a wide variety of use cases and thus increases productivity.
How you benefit from your individual RAG solution
Possibility to generate reliable answers to your specific questions and problems, which would not be possible without RAG,
as relevant information is not available for model training
Better, more reliable and more up-to-date results thanks to the secure integration of your company knowledge and the specialization of the LLM to your specific use case or industry
Reducing the risk of hallucinations (generation of fictional / inaccurate information) or false information
Full flexibility in the choice of RAG pipeline components (LLM, embedding models, database) for maximum performance and independence from third parties
Seamless integration into your existing applications and customizable user interfaces
Your RAG solution with us
We support you from the initial idea to implementation and operation
Evaluation and concept of the right use case
In which area do you see potential for the use of RAG in your company? We identify the most promising use cases with you, evaluate them for business value and feasibility and develop the concept for successful implementation.
Selection and adjustment of LLM
We keep the overview for you: From a large number of available language models with different strengths and weaknesses, we select the best one for your application and adapt it to your individual requirements.
Data management and data connection
RAG’s recipe for success lies in the integration of your corporate knowledge. To do this, we identify and prioritize the relevant data sources together with you, prepare them and link them to the selected language model.
Frontend development and integration
Where and who should your RAG solution support? Your customers on your website when answering service requests or your employees with internal knowledge management in your wiki system? We develop the appropriate user interface or integrate it directly into existing tools.
Maintenance and Support
Our infrastructure experts create the technical framework for the secure and reliable operation of your RAG solution. On-premise, in your existing cloud solution or with us – you have the choice of where and how your RAG solution should be operated. Of course, we also support you as a permanent contact partner.
Your RAG solution with us
We support you from the initial idea to implementation and operation
Evaluation and concept of the right use case
In which area do you see potential for the use of RAG in your company? We identify the most promising use cases with you, evaluate them for business value and feasibility and develop the concept for successful implementation.
Selection and adjustment of LLM
We keep the overview for you: From a large number of available language models with different strengths and weaknesses, we select the best one for your application and adapt it to your individual requirements.
Data management and data connection
RAG’s recipe for success lies in the integration of your corporate knowledge. To do this, we identify and prioritize the relevant data sources together with you, prepare them and link them to the selected language model.
Frontend development and integration
Where and who should your RAG solution support? Your customers on your website when answering service requests or your employees with internal knowledge management in your wiki system? We develop the appropriate user interface or integrate it directly into existing tools.
Maintenance and Support
Our infrastructure experts create the technical framework for the secure and reliable operation of your RAG solution. On-premise, in your existing cloud solution or with us – you have the choice of where and how your RAG solution should be operated. Of course, we also support you as a permanent contact partner.
Certified security for the development of your GenAI solutions
As a customer, you have the highest demands in terms of availability and security – especially in a sensitive data environment. We are aware of this, which is why we as a company and as part of VIVAVIS AG, which specializes in critical infrastructures, stand for maximum confidentiality and integrity and our solutions for maximum security – certified in accordance with ISO 27001.
Even faster access, due to existing solution
Use our Guinan solution to discover the benefits that can be achieved by combining ready-made language models with your domain-specific knowledge – without having to implement your own solution.
