KamerRaad is an AI tool that leverages large language models to help citizens interactively engage with Belgian political information. The tool extracts and concisely summarizes key excerpts from parliamentary proceedings, followed by the potential for interaction based on generative AI that allows users to steadily build up their understanding. KamerRaad's front-end, built with Streamlit, facilitates easy interaction, while the back-end employs open-source models for text embedding and generation to ensure accurate and relevant responses. By collecting feedback, we intend to enhance the relevancy of our source retrieval and the quality of our summarization, thereby enriching the user experience with a focus on source-driven dialogue.

翻译：论文摘要：KamerRaad是一款利用大语言模型帮助公民互动式获取比利时政治信息的人工智能工具。该工具从议会记录中提取关键片段并进行简洁摘要，随后基于生成式AI提供交互功能，使用户能够逐步构建对议题的理解。其前端采用Streamlit构建，便于交互操作，后端则使用开源模型进行文本嵌入与文本生成，确保回答的准确性与相关性。通过收集用户反馈，我们旨在提升源文本检索的相关性与摘要质量，从而优化以源文本驱动的对话为核心的用户体验。