Vectara Revolutionizes Generative AI with Mockingbird LLM
July 18, 2024, 3:50 pm
Vectara, a leader in generative AI technology, secures $25 million in Series A funding to advance the trustworthiness of Retrieval Augmented Generation with the introduction of Mockingbird, a new large language model tailored for high-accuracy tasks in regulated industries.
Vectara, a pioneer in Generative AI, secures a $25 million Series A funding round led by FPV Ventures and Race Capital, with additional support from Alumni Ventures, WVV Capital, Samsung Next, and more. This funding, combined with previous rounds, totals $53.5 million, aimed at advancing Retrieval Augmented Generation (RAG) for regulated industries.
With this funding, Vectara plans to enhance internal innovations, expand its market presence in Australia and EMEA regions, and introduce Mockingbird, a new generative Large Language Model (LLM) optimized for RAG applications. Mockingbird is designed to reduce hallucinations, improve structured output, and deliver reliable performance with low latency and cost efficiency.
Unlike general-purpose LLMs, Mockingbird is tailored for RAG, surpassing GPT-4 in Bert-F1 performance by 26%. Its structured output feature allows for seamless integration within Vectara's ecosystem, ensuring operational excellence and increased security without third-party dependencies.
Vectara's commitment to innovation and trustworthiness in AI technology is evident with the launch of Mockingbird. This new model sets a new benchmark in operational excellence, empowering regulated industries to leverage reliable AI solutions with confidence.
Investors have shown strong support for Vectara's vision, further solidifying the company's position as a leader in RAG technology. With Mockingbird, Vectara is not just pushing boundaries in AI trustworthiness but also paving the way for a future where AI can be a dependable partner in mission-critical tasks.
The $25 million Series A funding will fuel Vectara's product development efforts and international expansion plans. With Mockingbird leading the way, Vectara is poised to revolutionize the landscape of generative AI technology, setting new standards for accuracy, security, and reliability in regulated industries.
Vectara, a pioneer in Generative AI, secures a $25 million Series A funding round led by FPV Ventures and Race Capital, with additional support from Alumni Ventures, WVV Capital, Samsung Next, and more. This funding, combined with previous rounds, totals $53.5 million, aimed at advancing Retrieval Augmented Generation (RAG) for regulated industries.
With this funding, Vectara plans to enhance internal innovations, expand its market presence in Australia and EMEA regions, and introduce Mockingbird, a new generative Large Language Model (LLM) optimized for RAG applications. Mockingbird is designed to reduce hallucinations, improve structured output, and deliver reliable performance with low latency and cost efficiency.
Unlike general-purpose LLMs, Mockingbird is tailored for RAG, surpassing GPT-4 in Bert-F1 performance by 26%. Its structured output feature allows for seamless integration within Vectara's ecosystem, ensuring operational excellence and increased security without third-party dependencies.
Vectara's commitment to innovation and trustworthiness in AI technology is evident with the launch of Mockingbird. This new model sets a new benchmark in operational excellence, empowering regulated industries to leverage reliable AI solutions with confidence.
Investors have shown strong support for Vectara's vision, further solidifying the company's position as a leader in RAG technology. With Mockingbird, Vectara is not just pushing boundaries in AI trustworthiness but also paving the way for a future where AI can be a dependable partner in mission-critical tasks.
The $25 million Series A funding will fuel Vectara's product development efforts and international expansion plans. With Mockingbird leading the way, Vectara is poised to revolutionize the landscape of generative AI technology, setting new standards for accuracy, security, and reliability in regulated industries.