Galileo, a company specializing in GenAI for enterprises, has unveiled its Retrieval Augmented Generation (RAG) & Agent Analytics solution. This new service aims to enhance the development and reliability of AI applications by providing tools for better management and analysis of RAG systems.
The RAG & Agent Analytics service offers advanced insights into the evaluation process of RAG systems, including proprietary metrics for chunk evaluation and context analysis, such as Chunk Attribution and Context Adherence.
Key features include optimized chunking strategies, enhanced explainability of AI responses, and visual debugging tools.
Galileo claims this solution will significantly reduce the complexity and manual labor involved in developing RAG systems, leading to more accurate and transparent AI responses.
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