Introducing GenAI functions: Analyze AI conversations with purpose-built APL functions

GenAI functions in APL are designed to simplify the analysis of complex GenAI conversation data, which consists of structured sequences of messages, roles, tool calls, and metadata, unlike traditional observability data that uses scalar values. These functions allow users to extract insights efficiently by handling JSON parsing, filtering, and extraction, making it easier to analyze conversation flow, calculate costs, and understand user interactions without manual data processing. The functions are tailored to enable cost analysis at granular levels, such as specific customer segments or features, by automatically managing model pricing and conversation data extraction. Axiom's vertical stack ownership provides a unique advantage by allowing seamless integration of database, UI, and query language capabilities, optimizing the entire pipeline for GenAI workloads and making analysis straightforward and efficient.

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