
Onehouse has announced the launch of a new vector embedding generator designed to enhance its data lakehouse capabilities. This innovation aims to simplify the customization of large language models (LLMs) at scale, making it easier for organizations to manage vector embeddings. The announcement was made on August 22, 2024, and highlights the company's focus on reducing AI training costs through improved data management solutions. Additionally, a free webinar is scheduled to discuss the application of data lakehouses in generative AI, featuring insights from industry experts, including Kaushik Muniandi from NielsenIQ. The event aims to address challenges in text-based search applications and explore multilingual embedding models for enhanced search functionalities.
Onehouse Launches Vector Embeddings Generator for Managing Vectors at Scale on the Data Lakehouse https://t.co/1SmCr2Tmes @Onehousehq #datanami #TCIwire
.@Onehousehq Automates Vector Embedding for Its Data Lakehouse by Jelani Harper. https://t.co/XPSIR52FU6 #DataStorage #DataLake #DataLakehouse #DataManagement #OpenAI
https://t.co/OvYsc61dqM Onehouse today revealed it is adding a vector embedding generator to its data lake to make it simpler for orgs to customize LLMs at scale. #datalake #llms #onehouse #vectorembeddings https://t.co/F51R3UHtma

