A strategic approach to generative AI

Welcome to the KX Pulse newsletter!

Previously known as The Weekly Vector, our new focus aims to drive and inspire your data and AI-driven initiatives.

In this edition, we dive into the practical application of Generative AI with ‘part one’ of our AI Factory 101 blog series. You'll also find insights from the recent AI in Finance Summit on Capital Markets, featuring our Head of AI Strategy, Conor Twomey . And be sure not to miss Mark Palmer 's latest blog, 'Hybrid Data: The Key to Unlocking Generative AI Accuracy.'

For our builders, we have an exciting article from Michael Ryaboy on task-aware RAG strategies, along with a brand new KDB.AI vector database academy course. Plus, stay updated with the latest product releases and more.

Blog: AI Factory 101

Mark Palmer introduces the AI Factory concept in this new blog and explores the essentials required to build your own.

Key Takeaways:

• Understand the integral components and operations of an AI Factory
• Learn how this model optimizes decision-making and boosts operational efficiency
• Explore real-world applications and the transformative impact on business strategy

Read more to learn about creating your own AI Factory

Article: Task-aware RAG strategies

KDB.AI?Developer Advocate Michael Ryaboy recently published an article in Towards Data Science, which considers the challenges of task-aware RAG when dealing with complex tasks like matchmaking.

Key Takeaways:?

• Examples of task-aware RAG use cases where semantic similarity falls short
• A deeper dive into the problems facing?one of these use cases
• A multi-step solution?that combines?instruction-tuned embeddings,?reranking, and LLMs

If you missed it, you can read the full article?here.?

Event: How to show GenAI ROI

During the recent AI In Finance Summit, our Head of AI Strategy, Conor Twomey, discussed why the majority of GenAI deployments fail to show ROI.

Key Takeaways:?

• There needs to be a mindset shift from viewing GenAI as a time-saving tool to viewing it as the driving force behind enhanced services and products for customers
• By focusing on providing enterprise value, rather than just efficiency and cost-cutting, you are more likely to boost revenue and show clear ROI

Check out more best practices for successfully deploying and scaling GenAI strategies in this eBook.

Academy Course: Learn more about KDB.AI vector databases

We're excited to launch a new course at KX Academy: KDB.AI Vector Database. This module will teach you to integrate KDB.AI with OpenAI for advanced data retrieval.

Topics include:

• Foundational Knowledge: Learn about vector search and databases, plus the role of Retrieval Augmented Generation (RAG)
• Setup and Tools: Establish a development environment using the KDB.AI client, FastEmbed, and OpenAI libraries
• Implementation Skills: Master data preprocessing, embedding generation, and manage vector indexes in KDB.AI
• Practical Application: Perform vector similarity searches and integrate OpenAI's language models for dynamic response generation

Enrol now for hands-on experience in cutting-edge AI technology.

Blog: The key to unlocking generative AI accuracy?

Explore the power of hybrid data in enhancing the accuracy of GenAI in this article from Mark Palmer . Uncover how blending structured and unstructured data can refine AI model performance.

Key Takeaways:?

• Understand the significance of hybrid data in improving AI precision

• Learn strategies for integrating diverse data types to boost AI outcomes

• Gain insights into the impact of robust data frameworks on generative AI technologies

Read more on how to elevate your AI systems with hybrid data solutions.?

Product Release: KDB.AI 1.2

Our vector database KDB.AI has key enhancements for optimized application management:

• Speed and Efficiency: Achieves up to 8x faster data retrieval and 2x quicker data ingestion while maintaining low CPU usage
• Predictable Scalability: Ensures linear scalability to manage large-scale data growth without unexpected performance drops
• New ‘qFlat’ On-Disk Index: Provides a low-memory disk-based alternative for handling large datasets, balancing capacity and speed effectively

Fore more information, check our release notes.

Applications are still open for our Developer Advocacy Program, ‘Community KXperts’! This program is ideal for anyone passionate about sharing their knowledge on KX through blogs, articles, or other content. To apply, contact [email protected] or fill out this form.

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