Empowering AI: Unleashing the Potential of SAP HANA Cloud Vector Engine

The new SAP HANA Cloud vector engine brings together the strength of large language models (LLMs) with your company’s real-time data and business insights—all in one powerful multi-model database. With the latest update, this engine is now widely available.

SAP HANA Cloud leads the market as a top-notch database-as-a-service, fueling intelligent data applications and standing out within SAP Business Technology Platform (SAP BTP). Over 180 applications and services currently leverage its multi-model capabilities.

Now, SAP HANA Cloud also pioneers in the era of generative AI. At SAP, we collaborate with various LLMs like GPT-4, Llama2, Falcon-40b, and Claude2. While these models offer great potential, they do have limitations. For instance, they may lack up-to-date training data and the specific context of your business processes.

To illustrate, imagine working with an LLM as a colleague. They’d be smart and capable but oblivious to recent events or your company’s internal workings. Moreover, they’d forget every conversation you had, limiting their usefulness. This is why an LLM struggles with questions like, “What are your thoughts on last week’s offer from our main supplier?” It needs additional context beyond its initial training data.

This is where the SAP HANA Cloud vector engine steps in. It supplements this lack of information by providing LLMs with all the necessary organizational data through “retrieval-augmented generation.”

“A Game-Changing Feature: SAP HANA Cloud’s Vector Engine” How does it work? The vector engine is a recent addition to SAP HANA Cloud, allowing customers to leverage similarities between vectors to tackle business challenges. With AI integration, SAP HANA Cloud empowers businesses to blend intuition with data-driven insights for complex problem-solving.

Key benefits include:

1. Multi-model capabilities: Unify diverse data types into one efficient database, enabling innovative applications with in-memory performance. Enhanced search and analysis: Apply semantic and similarity search to documents like contracts and service call notes.
2. Personalized recommendations: Enjoy improved user experiences with accurate, tailored suggestions. Optimized large language models: Augment LLM outputs with more contextual data for better insights.
3. SAP HANA Cloud is now the default database for SAP’s generative AI strategy. It supports the next level of user experiences and services within SAP BTP. Customers can leverage both SAP HANA Cloud and generative AI capabilities to enhance intelligent data applications.
4. Innovation thrives with SAP HANA Cloud, storing and processing diverse business data in one place. The vector engine, along with other capabilities, unlocks new opportunities to optimize business processes, enhance search capabilities, and elevate user expertise