Empowering Enterprises with Zilliz Cloud, RAG, and Proprietary Knowledge Base
Enhanced Data Utilization
Streamlined access to valuable business and knowledge data using RAG-based solutions.
Optimized Internal Operations
Improved efficiency and workflow within organizations by adopting cutting-edge Gen AI technologies.
Secured Data Accessibility
Ensured secure access to private data, meeting enterprise requirements.
Introduction
A leading consulting firm employs Generative AI to deliver unparalleled insights and expanded applications of proprietary data for its enterprise clients. By integrating Zilliz Cloud’s performant vector search capability with the scalable and secure AWS cloud infrastructures such as Amazon S3, Bedrock, and PrivateLink, the consulting firm has developed proprietary knowledge bases and Retrieval Augmented Generation (RAG) solutions that transform how businesses utilize proprietary knowledge and data. They significantly improve the internal operations of customers and ensure secure access to private, confidential, and proprietary information, enabling enterprises to thrive in a dynamic market environment.
The Challenge: Meet the Need for Generative AI in Business Expansion
The consulting firm recognizes Generative AI as a pivotal technology for future business expansion, making it focus on developing enterprise-ready GenAI solutions for data analytics, knowledge management, and AI-driven operations. These innovative solutions are designed to automate creative and routine operational tasks, enhancing business functions across various industries. Serving a diverse portfolio of enterprise customers, this firm seeks to integrate Generative AI with its customers’ existing business data to enhance decision-making and foster innovation.
The Solution: Secure and Grounded Generative AI Applications
To address organizations' concerns about adopting cloud-based GenAI applications due to risk, compliance, and security concerns, the client has launched a RAG-based solution utilizing vector search on Zilliz Cloud and the secure cloud infrastructures provided by AWS. The RAG-based solution leverages the generative power of large language models (LLMs) while anchoring them with grounded data from proprietary sources in a secure cloud environment, thus meeting the security requirements of enterprise customers. The system processes and encodes proprietary information from internal data repositories, such as Amazon S3 buckets, into vector embeddings and stores them in the Zilliz vector database. Zilliz Cloud is deployed in the same region and securely connected to the customer’s services via PrivateLink. Thus, this setup enables secure semantic searches with the customer’s private knowledge base. When a user query is submitted, the system first retrieves relevant context from the knowledge base; subsequently, the LLM generates answers based on this context, ensuring the responses are contextually accurate and up-to-date.
The architecture of the Zilliz Cloud-powered Generative AI application
The Results: Secure and Effective Utilization of Proprietary Data
The RAG-based solution integrates Zilliz Cloud’s vector search capability with AWS's GenAI services and cloud infrastructure, enabling the consulting firm's enterprise clients to utilize mission-critical business and knowledge data effectively. This innovative approach also streamlines internal operations and ensures secure access to proprietary information, maintaining a competitive advantage in a rapidly evolving market environment.