Vector Search -An Introduction in Oracle Database 23ai.pptx
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The document discusses the introduction of vector search in Oracle Database 23AI, which utilizes numerical values to assess similarity among various data types, enhancing efficiency in information retrieval and customer engagement. It outlines the importance of this technology for enterprise AI applications such as recommendation systems, chatbots, and anomaly detection. Overall, it highlights how Oracle AI vector search can significantly improve business operations and customer interactions through tailored information delivery.
Vector Search -An Introduction in Oracle Database 23ai.pptx
- 1. Introductionof Vector Searchin Oracle Database 23ai
- 2. • Introduction • Background • Details • Examples • Conclusion TABLE OF CONTENTS Introduction Of Vector Search In Oracle Database 23ai
- 3. • Vector search in Oracle Database 23ai involves using unique numerical values (vectors) to identify and assess similarity between different data types like text, images, sounds, or videos. • It enables efficient and accurate retrieval of information and the development of extensive language models, ultimately enhancing customer engagement and providing tailored and up-to-date information for the enterprise. DEFINITION OF VECTOR SEARCH IN ORACLE DATABASE 23AI Introduction
- 4. • Vector search in Enterprise AI is crucial for identifying similar items, essential for operations like recommendation systems, content matching, and anomaly detection. • It allows AI to efficiently process and compare large amounts of data, leading to more accurate and relevant results and enhancing customer engagement through tailored and up-to-date information. IMPORTANCE OF VECTOR SEARCH IN ENTERPRISE AI
- 5. Oracle AI Vector Search utilises unique numerical values (vectors) to identify similarities between different data types like text, images, sounds, or videos. It enables the secure merging of business data with AI, development of corporate chatbots, and generation of extensive language models, ultimately enhancing customer engagement. OVERVIEW OF ORACLE AI VECTOR SEARCH
- 6. Enterprise AI aims to improve company operations through the use of advanced technologies It focuses on automating processes, enhancing decision-making, and improving customer engagement ENTERPRISE AI AND ITS FOCUS ON ENHANCING COMPANY OPERATIONS
- 7. • Similarity search identifies items that are similar based on vectors • Retrieval augmented generation improves content creation using vectors • Outlier search identifies anomalies among a group of items TYPES OF AI SOLUTIONS: SIMILARITY SEARCH, RETRIEVALAUGMENTED GENERATION, OUTLIER SEARCH
- 8. • Oracle AI Vector Search enables chatbots to provide tailored and up-to-date information to customers • It utilizes similarity search to enhance the context of discussions • Allows chatbots to offer personalized responses based on the company's unique knowledge • Revolutionizes the way chatbots interact with customers ROLE OF ORACLE AI VECTOR SEARCH IN CORPORATE CHATBOTSAND CUSTOMER ENGAGEMENT
- 9. • Utilizing numerical values to capture semantic characteristics of data • Assessing similarity between two things through mathematical calculations • Merging business data with AI for similarity search feature UTILIZING VECTORS AS UNIQUE IDENTIFIERS FOR INFORMATION
- 10. Training LLMS using huge quantities of publicly available and historical data Allowing input of confidential and current data for more precise replies Utilizing similarity search feature to enhance context of discussions RAG TECHNIQUE FOR GENERATING EXTENSIVE LANGUAGE MODELS
- 11. Developing corporate chatbots that provide tailored and current information Offering up-to-date and personalized responses for customer engagement INTELLIGENTAND TAILORED RESPONSES ENABLED BY ORACLE AI VECTOR SEARCH
- 12. Development of chatbots providing tailored and current information Offering up-to-date and personalized responses for enhanced customer engagement Providing a more seamless and innovative customer experience APPLICATION OF ORACLE AI VECTOR SEARCH IN CORPORATE CHATBOTS
- 13. • Providing tailored and up-to-date information through corporate chatbots • Higher level of interaction and involvement with customers • Offering personalized responses based on the company's unique knowledge CUSTOMER ENGAGEMENT SCENARIOS ENHANCED BY ORACLE AI VECTOR SEARCH
- 14. Effective operation in public and private cloud settings, on- premises, and within containers Flexible and reliable solution for enhancing customer engagement Free trial offer to experience the power of Kubernetes virtual machines with Oracle at no cost SEAMLESS OPERATION IN VARIOUS CLOUD ENVIRONMENTSAND FREE TRIAL OFFER
- 15. • Assessment of similarity between data using mathematical calculations • Generation of extensive language models for intelligent responses • Enhancement of customer engagement with tailored and up-to-date information • Secure merging of business data with AI in various cloud environments SUMMARY OF THE BENEFITS OF ORACLE AI VECTOR SEARCH
- 16. • Seamless operation in various cloud environments • Utilization of artificial intelligence for enhancing company operations • Revolutionizing customer engagement through corporate chatbots • Development of tailored and current information specific to the firm EMPHASIS ON EASE OF USE, SAFETY, SPEED, RELIABILITY, AND FLEXIBILITY
- 17. • Greatly enhancing company operations and customer interactions • Revolutionizing customer engagement through tailored and current information • Utilization of AI solutions for enhancing company operations ENCOURAGEMENT FOR FURTHER EXPLORATION AND IMPLEMENTATION
- 18. • • Thanks for Watching • • For more detail [email protected] • • https://www.kendba.com ORACLE DATABASE 23AI - VECTOR SEARCH Kendba Academy