>>> [!note] Migrated issue <!-- Drupal.org comment --> <!-- Migrated from issue #3546680. --> Reported by: [breidert](https://www.drupal.org/user/135619) >>> <h2 id="issue-summary">Issue Summary</h2> <p>Enhance Drupal's existing search capabilities by integrating AI-powered semantic search alongside traditional keyword search. This feature will leverage Drupal's strengths with the Search API module family and vector database integration to provide more intelligent, contextually relevant search results through smart result mixing and AI-generated summaries.</p> <h2 id="background">Background</h2> <p>Drupal has established itself as a robust platform for search functionality, offering seamless integration with various search backends through the Search API module family. With emerging capabilities to integrate with vector databases, there's an opportunity to significantly enhance the search experience by combining traditional keyword search with modern semantic search techniques.</p> <h2 id="goals">Goals</h2> <ul> <li><strong>Leverage Drupal's Search Strengths</strong>: Build upon Drupal's existing search infrastructure and the Search API module ecosystem</li> <li><strong>Hybrid Search Implementation</strong>: Combine keyword-based search with semantic search capabilities</li> <li><strong>Intelligent Result Optimization</strong>: Implement smart mixing and re-ranking of search results from both search methods</li> <li><strong>Enhanced User Experience</strong>: Provide AI-generated summaries that directly answer user questions when confidence thresholds are met</li> </ul> <h2 id="mvp-functionality">MVP Functionality</h2> <h3 id="core-components">Core Components</h3> <ol> <li> <p><strong>Dual Search Index System</strong></p> <ul> <li>Maintain separate indexes for keyword and semantic search</li> <li>Ensure compatibility with existing Search API configurations</li> <li>Support vector database integration for semantic search storage</li> </ul> </li> <li> <p><strong>Smart Search Result Mixing</strong></p> <ul> <li>Implement algorithms to intelligently combine and re-rank results from both search methods</li> <li>Weight results based on relevance scores from each search type</li> <li>Provide configuration options for mixing ratios and ranking preferences</li> </ul> </li> <li> <p><strong>Flexible Result Display</strong></p> <ul> <li>Support multiple display options: traditional views, decoupled architecture, or custom page implementations</li> <li>Maintain compatibility with existing Drupal theming systems</li> <li>Ensure responsive design for various device types</li> </ul> </li> <li> <p><strong>AI-Generated Search Summaries</strong></p> <ul> <li>Generate concise summaries that directly answer user questions</li> <li>Display summaries above or alongside search results when confidence thresholds are met</li> <li>Implement confidence scoring to determine when to show summaries</li> <li>Provide fallback behavior when confidence is insufficient</li> </ul> </li> </ol> <h3 id="technical-requirements">Technical Requirements</h3> <ul> <li>Integration with Search API module family</li> <li>Vector database connectivity and management</li> <li>AI service integration for semantic processing and summary generation</li> <li>Performance optimization for dual search execution</li> <li>Caching strategies for improved response times</li> </ul> <h2 id="post-mvp-functionality">Post-MVP Functionality</h2> <p><em>To be determined based on MVP feedback and additional requirements gathering</em></p> <h2 id="implementation-roadmap">Implementation Roadmap</h2> <h3 id="phase-1-planning-design">Phase 1: Planning &amp; Design</h3> <ul> <li><strong>Review MVP Functionality</strong>: Detailed technical specification review</li> <li><strong>Stakeholder Input</strong>: Collect additional ideas and requirements from community</li> <li><strong>Architecture Planning</strong>: Design system architecture and integration points</li> </ul> <h3 id="phase-2-team-assembly">Phase 2: Team Assembly</h3> <ul> <li><strong>Staff Implementation Team</strong>: Identify and assign development resources</li> <li><strong>Skill Assessment</strong>: Ensure team has necessary AI/ML and Drupal expertise</li> <li><strong>Project Management</strong>: Establish timelines and milestone tracking</li> </ul> <h3 id="phase-3-development">Phase 3: Development</h3> <ul> <li><strong>Implement MVP Version</strong>: Build core functionality according to specifications</li> <li><strong>Testing &amp; Quality Assurance</strong>: Comprehensive testing across different configurations</li> <li><strong>Documentation</strong>: Create user and developer documentation</li> </ul> <h2 id="success-metrics">Success Metrics</h2> <ul> <li>Improved search result relevance scores</li> <li>Increased user engagement with search results</li> <li>Reduced time to find relevant information</li> <li>User satisfaction surveys and feedback</li> <li>Performance benchmarks (response times, system load)</li> </ul> <h2 id="dependencies">Dependencies</h2> <ul> <li>Search API module compatibility</li> <li>Vector database selection and setup</li> <li>AI/ML service provider selection</li> <li>Community feedback and testing participation</li> </ul> <h2 id="additional-considerations">Additional Considerations</h2> <ul> <li><strong>Accessibility</strong>: Ensure all new features meet WCAG guidelines</li> <li><strong>Multilingual Support</strong>: Consider internationalization requirements</li> <li><strong>Privacy</strong>: Address any data privacy concerns with AI processing</li> <li><strong>Scalability</strong>: Design for various site sizes and traffic volumes</li> <li><strong>Backwards Compatibility</strong>: Maintain compatibility with existing search configurations</li> </ul>