Mockingbird is a RAG-Specific LLM that Beats GPT 4, Gemini 1.5 Pro in RAG Output Quality

Mockingbird is a RAG-Specific LLM that outperforms GPT 4 and Gemini 1.5 Pro in RAG output quality, achieving the world’s leading RAG output quality and hallucination mitigation capabilities. It excels in ensuring data never leaves Vectara's secure environment and consistently outperforms major models like OpenAI's GPT-4 and Google's Gemini 1.5 Pro in RAG output quality, citation accuracy, multilingual performance, and structured output accuracy. Mockingbird is deployed alongside Vectara, ensuring that sensitive data never gets sent to a third-party LLM provider, addressing key concerns about data privacy with third-party providers. It outperforms GPT4 on key metrics such as BERT F1 score in RAG output and citation precision/recall, excelling in multilingual RAG performance and structured output accuracy.

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