RAGApp: An AI Starter Kit to Build Your Own Agentic RAG in the Enterprise as Simple as Using GPTs
What challenges do enterprises face deploying RAG applications?
Enterprises face challenges deploying RAG applications due to the intricacies of setting up and configuring these applications, especially when dealing with the nuances of different cloud infrastructures and ensuring security. Data privacy and compliance concerns also arise when using third-party cloud services. Scaling RAG models, managing large datasets, and addressing storage requirements for generative AI are additional challenges enterprises must overcome6.
What is RAGApp's primary function for enterprises?
RAGApp's primary function for enterprises is to simplify the deployment of Retrieval-Augmented Generation (RAG) applications in their cloud environments. It uses Docker to streamline the setup process and provides an Admin UI for easy configuration. RAGApp supports hosted AI models from providers like OpenAI or Gemini, as well as local models via Ollama, giving enterprises flexibility in choosing their preferred models.
What concerns arise with third-party cloud services for RAG applications?
Concerns with third-party cloud services for RAG applications include data privacy, compliance, and security2. Hosted solutions may not meet the needs of enterprises that require more control over their data and infrastructure. Additionally, there may be concerns about data leakage and unauthorized access.