Results for “llm-evaluation”

Provides guidance and code for production AI workflows including RAG pipelines, vector databases, embedding indexing, prompt engineering, cost estimation, semantic caching, and quality evaluation.

Creates and manages annotation configs and annotation queues on Arize, and applies human annotations to project spans via the Python SDK.