QueryWeaver: Reliable Multi-Tool Query Execution Planning via LLM-Based Graph Generation
Researchers have developed QueryWeaver, a system designed to improve the reliability of multi-tool query execution using LLMs. The system converts natural language queries into structured graphs, which are then processed by a deterministic planner. This approach, utilizing depth-first search to manage dependencies and combine results, enhances accuracy and enables more complex cross-tool queries, even with smaller or locally hosted language models. AI
IMPACT Enhances LLM capabilities for complex data integration, potentially improving agent performance.