Oracle Introduces Integrated Vector Database for Generative AI

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Oracle recently announced that it plans to add semantic search capabilities using AI vectors to Oracle Database 23c. The new collection comprises new vector data type, vector indexes, and vector search SQL operators, all of which will enable Oracle Database to store and retrieve the semantic content of a wide array of data types, encompassing documents, images, and more, using vectors. This advancement is expected to deliver lightning-fast similarity queries, significantly enhancing the efficiency of data retrieval processes.

Perhaps the most interesting aspect of AI Vector Search is its ability to support Retrieval Augmented Generation (RAG), a leading generative AI technique. RAG combines the power of large language models (LLMs) with sensitive business data to provide accurate responses to natural language queries. Notably, this is accomplished without exposing confidential or private data during the LLM training process, ensuring both data integrity and security.

“Searches on a combination of business and semantic data are easier, faster, and more precise if both types of data are managed by a single database. By adding AI Vector Search to Oracle Database, we enable customers to quickly and easily get the benefits of artificial intelligence without sacrificing security, data integrity, or performance.” said Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle

Applications built on Oracle Database and Autonomous Database are designed  to feature LLM-based natural language interfaces, allowing end-users to query data using everyday language, making data access simple. The company intends to democratise access to natural language processing capabilities for users.

The announcement also encompassed updates to Oracle’s suite of products and services. Notably, Oracle Autonomous Database will feature a free container image, allowing developers to create cloud-native applications with the same capabilities as Oracle Cloud Infrastructure (OCI) Always Free Autonomous Database, all while working in an environment that suits their preferences. APEX, Oracle’s application development tool, will speed up the development process by converting natural language prompts into SQL queries and introducing integrated workflow and process automation.

Additionally, GoldenGate 23c Free, Oracle’s data integration and data mesh solution, will now be accessible for free. This version offers a simplified user experience, making it accessible even to individuals with limited experience.

Two months back in an exclusive interview with AIM, Oracle India’s technology head Saravanan P, had told about their plans to expand into vector databases. 

The post Oracle Introduces Integrated Vector Database for Generative AI appeared first on Analytics India Magazine.

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Oracle Introduces Integrated Vector Database for Generative AI

Oracle recently announced that it plans to add semantic search capabilities using AI vectors to Oracle Database 23c. The new collection comprises new vector data type, vector indexes, and vector search SQL operators, all of which will enable Oracle Database to store and retrieve the semantic content of a wide array of data types, encompassing documents, images, and more, using vectors. This advancement is expected to deliver lightning-fast similarity queries, significantly enhancing the efficiency of data retrieval processes.

Perhaps the most interesting aspect of AI Vector Search is its ability to support Retrieval Augmented Generation (RAG), a leading generative AI technique. RAG combines the power of large language models (LLMs) with sensitive business data to provide accurate responses to natural language queries. Notably, this is accomplished without exposing confidential or private data during the LLM training process, ensuring both data integrity and security.

“Searches on a combination of business and semantic data are easier, faster, and more precise if both types of data are managed by a single database. By adding AI Vector Search to Oracle Database, we enable customers to quickly and easily get the benefits of artificial intelligence without sacrificing security, data integrity, or performance.” said Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle

Applications built on Oracle Database and Autonomous Database are designed  to feature LLM-based natural language interfaces, allowing end-users to query data using everyday language, making data access simple. The company intends to democratise access to natural language processing capabilities for users.

The announcement also encompassed updates to Oracle’s suite of products and services. Notably, Oracle Autonomous Database will feature a free container image, allowing developers to create cloud-native applications with the same capabilities as Oracle Cloud Infrastructure (OCI) Always Free Autonomous Database, all while working in an environment that suits their preferences. APEX, Oracle’s application development tool, will speed up the development process by converting natural language prompts into SQL queries and introducing integrated workflow and process automation.

Additionally, GoldenGate 23c Free, Oracle’s data integration and data mesh solution, will now be accessible for free. This version offers a simplified user experience, making it accessible even to individuals with limited experience.

Two months back in an exclusive interview with AIM, Oracle India’s technology head Saravanan P, had told about their plans to expand into vector databases. 

The post Oracle Introduces Integrated Vector Database for Generative AI appeared first on Analytics India Magazine.

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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