Solution: RAG-Powered Enterprise Knowledge Base Agent
Retrieval-Augmented Generation (RAG) is an AI framework that enhances the output of LLMs by incorporating external knowledge sources. MyScale optimizes this process by seamlessly integrating vector similarity search with full SQL support, empowering your RAG systems to deliver precise, relevant, and up-to-date responses.
Download the Guide
Highlights from the Solution
- What are the significant challenges of large language models?
- Why RAG is a more ideal choice than model fine-tuning to address the limitations of LLMs?
- What are the challenges when implementing RAG?
- How does MyScale help optimize the RAG systems?
- A case study that shows how our RAG solution reduces the average search time by over 90% while maintaining a Q&A accuracy of over 95%.