AI-Powered Conversational Agents for Decision Support Systems

We are developing domain-specific conversational agents based on Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to enhance Decision Support Systems (DSS).

Our approach combines:

• Structured and unstructured knowledge integration: We build tailored knowledge bases from domain-specific datasets, ensuring accurate and context-aware responses.

• AI-driven expertise dissemination: By leveraging LLMs with RAG, we provide intelligent, conversational access to specialized knowledge, making expert insights accessible to a broad range of users.

• Interoperability and scalability: Designed for seamless integration into DSS platforms, our solution aligns with open standards, ensuring adaptability across various sectors.

This technology aims to democratize expertise, particularly benefiting smaller actors who lack access to consultants. We seek partners to co-develop and apply this solution in areas such as pollutin management, circular economy, aquaculture, agriculture, agroecology or biodiversity.