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Vectara has secured $25 million in Series A funding to advance its new Mockingbird large language model (LLM) for enterprise Retrieval Augmented Generation (RAG) applications. The funding round, led by FPV Ventures and Race Capital, brings Vectara's total funding to $53.5 million. The Mockingbird LLM is designed to enhance the trustworthiness of RAG and enable AI agent workflows. Other investors in this round include Alumni Ventures, WVV Capital, Samsung Next, Fusion Fund, Green Sands Equity, and Jason Mack. Vectara, which offers AI 'grounded search' tools, previously raised $28.5 million in seed funding in 2023.
Congratulations to my friend @awadallah and the @vectara team for their Series A! I'm proud to be a (small) personal investor. Vectara's new Mockingbird LLM is designed specifically for retrieval-augmented generation (#RAG) to squash those pesky hallucinations! https://t.co/vDXaf2LqF5
We’re thrilled to congratulate @arcee_ai on their $24M Series A. Arcee AI is revolutionizing #GenAI w/ their platform for training domain-specific Small Language Models (#SLMs) w/ incredible efficiency. Learn why we invested here: https://t.co/j4Nd048i5Q
Vectara raises $25M, debuts new RAG-optimized Mockingbird model https://t.co/5WkBTPdMYK
