Observability and Evaluation
Vectara’s observability tools reveal detailed insights into query behavior, making it easier to troubleshoot and optimize performance. Paired with evaluation features that detect inaccuracies, these capabilities help developers fine-tune their systems, ensure factual consistency, and build confidence in AI-driven outputs.
Diagnose, debug, and optimize query performance with detailed query histories and execution flow analysis to improve your generative AI applications.
Gain insights into every stage of the query lifecycle for better understanding and optimization.
Use the Vectara Factual Consistency Score to evaluate and detect hallucinations in AI-generated outputs.
Achieve accurate summaries with calibrated scores across multiple languages.
Detect hallucinations in AI-generated summaries and view corrected versions updated with factual source material.
Ensures that summaries passed through HCM retain their intended meaning.