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Anomalo Analyst proactively monitors data in Snowflake, Databricks, or BigQuery, surfaces important trends and anomalies, and allows investigation with plain language queries, with insights verified against the data.
The article describes using Databricks Genie to query MLflow agent traces with natural language, enabling non-SQL users to analyze agent performance metrics like latency and errors.
This paper presents an experimental study on using AI to find simulation models via natural language queries, evaluating data representations, embedding models, and retrieval strategies, finding that open-source embeddings and reranking methods significantly improve performance.