Tonic Validate by Tonic.ai measures and confirms the performance of RAG systems, assessing accuracy, context quality, latency, and more with custom-built metrics that isolate and test each component of the RAG application. It tracks, compares, and iterates on experiments by logging RAG parameters and responses. Tonic Validate visualizes how metrics change across experiments to perfect the RAG system. It monitors the RAG system in production using a logger to collect real user queries, context-augmented prompts, and LLM responses to monitor performance. By adding a few lines of code, it connects to a LlamaIndex vector store and query engine for running evaluations at scale. LlamaIndex is a data framework to help build LLM apps, providing data connectors to ingest existing data sources and formats, and enabling data to be structured and easily used with LLMs. Tonic Validate leverages advanced evaluation metrics directly within LlamaIndex's platform, visualizing experiments and monitoring RAG performance easily using its UI.
