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Key features for RAG Studio

RAG Studio allows you to create an application with a conversational interface (chatbot) that can be used to converse with a connected large language model, and comes with the functionality to enable retrieval-augement-generation to improve the performance and accuracy of the model’s responses.

Core Features
  • No-Code Application: RAG Studio is a no-code application, empowering users to create and deploy RAG chatbots without requiring extensive technical expertise.
  • Retrieval-Augmented Generation: RAG Studio combines the power of retrieval and generation to deliver accurate and efficient responses, leveraging the strengths of both approaches.
  • Secure and Context-Aware: Cloudera's chatbot is designed to be secure and context-aware, utilizing enterprise documents and real-time data ingestion to provide precise and relevant responses. Each answer synthesized from your enterprise documents will be automatically scored for faithfulness and relevance and provide reference documents, for easy and reliable human use.
  • Open-Source and Customizable: RAG Studio is built on open-source solutions, offering a flexible and customizable framework for developing and deploying chatbots that meet your unique needs.

Deployment and Integration

  • On-Premises Deployment: RAG Studio can be deployed on-premises, providing a secure and controlled environment for developing and deploying AI-powered chatbots.
  • Integration with Existing Infrastructure: RAG Studio seamlessly integrates with existing data infrastructure and workflows, allowing you to maintain control over your data while leveraging the power of AI.

Accessibility and Collaboration

  • Accessibility: RAG Studio is designed for accessibility, bridging the gap between business and IT teams and fostering collaboration on AI projects.
Advanced Capabilities
  • Optimized with Vector Search: Our platform is optimized with vector search, enabling fast and efficient retrieval of relevant information.
  • Hybrid Reranking: We utilize hybrid reranking to ensure that the most accurate and relevant responses are provided.
  • Automatic Evaluation: Our platform includes automatic evaluation, allowing you to assess the quality and accuracy of your chatbot's responses.
  • Scalable NiFi Ingestion Pipelines: Our platform supports scalable NiFi ingestion pipelines, enabling you to handle large volumes of data and ensure seamless integration with your existing infrastructure.

Foundation Model Integration

  • Seamless Connection: RAG Studio seamlessly connects to proprietary foundational models or fine-tuned models (if Cloudera AI Inference service is integrated) with your organizational knowledge, empowering users to leverage the right model for every task and switch easily between them.