Confident advanced RAG systems
Evaluation and Guardrails assess, troubleshoot, and enhance RAG applications with a modular evaluation framework. SearchAI ensures the safe, efficient, and ethical use of LLMs in production environments.
- Holistically refine your RAG
- Improve the accuracy of answer generation
- Responsibly use your LLMs
Guardrails
Key Features
- Get detailed debug information, including intermediate steps, transformations, and computations
- Observe how models process inputs, the context they consider, and the factors influencing answer generation
- Refine queries, adjust parameters, or implement changes to data processing
- Cross-references, verifies, and corrects facts
- Checks for bias, harmfulness, and toxicity
- Filters out potentially risky answers or safety violations
- Context precision calculates the proportion of relevant to irrelevant details within retrieved information
- Context recall measures the percentage of relevant info that’s sent to the LLM from the entire knowledge source
- Faithfulness evaluates factual accuracy and adherence to the retrieved context
