KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces
arxiv(2024)
摘要
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.
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