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Learn how we built Mockingbird V3 MM, a multimodal model for semiconductor AI agents that can produce grounded answers and work through multi-step engineering tasks.
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Thank you to some of our local employees and investors for attending our July team building lunch.
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.
In this blog post, we introduce Mockingbird, Vectara’s Retrieval Augmented Generation (RAG) and structured output focused LLM, and do a technical deep dive into its performance and discuss its technical capabilities.
When building something new and testing the art of the possible, crashes are bound to happen. Not just for Ferraris but for all new technology, and especially with Generative AI…
The Hacker News startup community website deserves better search
The top large language models in the Summer of 2024, along with recommendations for when to use each based upon needs like API, tunable, or fully hosted.
Enhance your Slack and Discord communities with RAGTime – a RAG-bot from Vectara.
Vectara’s Boomerang stands out as the optimal choice for production use cases, balancing precision, embedding size, and storage costs effectively.
