Interactive AI-powered parliamentary data visualization with GraphRAG
Public engagement and open parliament
Bahrain - Council of Representatives
Use case ID: 063
Author: Council of Representatives of Bahrain
Date: 6 October 2024
Objective:
Automatically visualize parliamentary open data using GraphRAG technology by creating interactive node-based representations of bills and their associated discussions, videos and audio recordings. This enhances transparency and accessibility for users, enabling efficient navigation of legislative data. GraphRAG (retrieval-augmented generation) is an advanced approach to information retrieval and generation that combines graph-based knowledge representations with language models.
Actors:
- Parliamentary staff members
- MPs
- Citizens
- AI development and support team
Prerequisites:
- Access to comprehensive datasets of parliamentary bills, discussions, videos and audio files
- Pre-defined criteria for linking bills to discussions and media content (e.g. bill titles, dates, debate keywords)
- Pre-trained AI models for content association and graph creation
- Integration with parliamentary document and media management systems
Scenario:
- A parliamentary staff member uploads a set of bills, discussions and media files (video clips and audio recordings) to the system.
- The staff member specifies criteria for linking discussions and media to each bill, such as keywords, dates or representative names.
- The AI system processes the documents and media using GraphRAG technology to create a node-based visualization.
- The system identifies and links bills to related discussions, videos and audio, forming interconnected nodes.
- The visualized data is presented in an interactive graph format, where each bill and discussion is represented as a node.
- Users can click on nodes to drill down and explore linked content, accessing discussions, video clips or audio recordings associated with each bill.
- MPs and authorized users can search for specific bills or discussions, and citizens can explore public data for insights.
Alternate flows:
- If unsupported file formats are uploaded, the system prompts the user to convert them to compatible formats before processing.
- Users can filter or customize their view by topic, date or representative to streamline navigation.
Expected results:
- Increased accuracy and speed in linking parliamentary bills with relevant discussions and media
- Improved accessibility and searchability of legislative data for both parliamentary staff and the public
- Reduced manual workload for staff in organizing and retrieving legislative content
Potential challenges:
- Ensuring the AI system correctly links bills with discussions and media, especially in cases of ambiguous or complex references
- Managing scalability as the volume of bills and media content grows over time
- Seamlessly integrating the AI system with existing parliamentary document and media management systems
Data requirements:
- Historical parliamentary bills, discussions, videos and audio for model training
- Metadata for bills (e.g. title, date, summary) and media content (e.g. topic tags)
- Ongoing updates to parliamentary data to ensure the graph remains current
Integrations with other systems:
- Parliamentary document and media management systems
- User authentication and access control systems
Success metrics:
- Accuracy of node connections between bills, discussions and media content
- Reduction in time taken for users to find relevant bills and discussions
- Increased engagement from MPs, staff and citizens in exploring parliamentary data
- User satisfaction scores from parliamentary staff, MPs and citizens