domain | vectara.com |
summary | Vectara has introduced a new framework called Open RAG Eval to help evaluate Reinforcement Learning with Flash (RL) performance effectively for developers building enterprise-grade applications using its AI Agent platform.
The company also offers resources like events, webinars targeted at business executives scheduled for August 20th and an Executive Brief on GenAI in financial services which discusses how Vectara can be used by businesses to quickly integrate Generative Pre-trained Transformer (GPT) technology while ensuring data privacy. There's a comprehensive strategy guide available that will help C-level decision-makers understand AI better.
In the educational sector, there is another brief focused on helping education and e-learning organizations leverage GenAI without compromising sensitive information or violating regulations like GDPR through Vectara's RAG-as-a-Service platform (Vectara). The resources are aimed at assisting these businesses to seamlessly integrate advanced language generation models into their applications. To get started with the AI Agent, users can log in for further assistance and book a demo.
Key points include: - Open RAG Eval - A framework specifically created by Vectara. - Financial services and education sectors have targeted executive briefs discussing how they use GenAI through Vectara's platform while upholding data privacy standards (August 20th events). - The strategy guide provides in-depth knowledge for enterprise architecture, product leadership, C-level decision-makers on utilizing AI to its full potential using the RAG-as-a-Service. - A focus is also placed upon resources such as webinars and a blog with pricing options available. |
title | The AI Agent and Assistant platform for enterprises |
description | The Trusted Platform for RAG |
keywords | platform, business, best, more, models, retrieval, agents, assistants, model, executive, security, privacy, users, data, education, search, evaluation |
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nslookup | A 76.76.21.21 |
created | 2025-06-21 |
updated | 2025-07-10 |
summarized | 2025-07-10 |
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