Uploaded March 2025 | Updated September 2026, 1 hour ago

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This paper (arxiv.org/abs/2502.00032) introduces a type of agentic querying called Function Calling that uses an LLM to structure queries using predefined function calls in JSON format, with optional arguments for search, filters, aggregation, and grouping.

Along with that, it also tests out a bunch of different models with a new dataset, DBGorilla, designed to evaluate agentic querying techniques on real-world use cases.

Weaviate also just released a Query Agent, designed based on some of the work in this paper, to handle advanced agentic querying out of the box, find out more here: weaviate.io/blog/query-agent

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