To enhance the E-SQL pipeline for handling more complex queries and extending its applicability to other domains beyond the BIRD dataset, several strategies can be implemented:
Domain-Specific Fine-Tuning: The E-SQL pipeline could benefit from fine-tuning on domain-specific datasets. By training the model on various specialized datasets, it can learn the unique terminologies, structures, and query patterns prevalent in different domains, such as healthcare, finance, or e-commerce.
Enhanced Question Decomposition: Implementing advanced question decomposition techniques can help break down complex queries into simpler sub-queries. This would allow the model to tackle intricate queries step-by-step, improving accuracy and execution success rates.
Multi-Modal Data Integration: Incorporating multi-modal data sources, such as images or structured data from APIs, could provide richer context for queries. This would enable the E-SQL pipeline to generate SQL queries that consider a broader range of inputs, enhancing its versatility.
Dynamic Schema Adaptation: Developing a mechanism for dynamic schema adaptation could allow the E-SQL pipeline to adjust to varying database schemas in real-time. This would involve creating a more flexible schema representation that can accommodate changes in database structure without requiring extensive retraining.
User Feedback Loop: Implementing a user feedback mechanism could help refine the model's performance over time. By collecting user interactions and corrections, the model can learn from its mistakes and improve its understanding of user intent and query formulation.
Integration of External Knowledge Bases: Leveraging external knowledge bases or ontologies can provide additional context and semantic understanding, allowing the E-SQL pipeline to generate more accurate and contextually relevant SQL queries.
By adopting these strategies, the E-SQL pipeline can be better equipped to handle complex queries and adapt to various domains, ultimately improving its utility as a natural language interface for databases.