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

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

In response to growing enterprise concerns over data security and the quality of retrieval-augmented generation (RAG), Vectara is proud to introduce Mockingbird, an LLM fine-tuned specifically for RAG. Mockingbird achieves the world’s leading RAG output quality and hallucination mitigation, making it perfect for enterprise RAG and autonomous agent use cases.

Nick MaSuleman Kazi
Nick Ma,Suleman Kazi
Unlocking the State-of-the-Art Reranker: Introducing the Vectara Multilingual Reranker_v1
Application Development

Unlocking the State-of-the-Art Reranker: Introducing the Vectara Multilingual Reranker_v1

In the ever-evolving landscape of RAG and information retrieval, a balance of precision, recall, and latency will make or break the applications. We are excited to introduce our latest innovation, the Multilingual Reranker_v1. This state-of-the-art reranker, significantly enhances the precision of retrieved results across both English and multilingual datasets.

Nick MaVivek Sourabh
Nick Ma,Vivek Sourabh
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