Developer Meet-Up

Location: Cathedral View, Carlisle Place, St. Vincents Centre, London, SW1P 1NLL

Date: 15 November

Are you building Generative AI agents that will use in-context data with LLMs? Join AI strategists on November 15th to unlock the power of Generative AI.

Come explore how to:

• Create Generative AI apps with the accuracy and relevance you need
• Make Gen AI enterprise-ready by conquering major obstacles
• Build on the most powerful Vector Database on the planet, at a fraction of the cost
• Implement the only vector database capable of synchronous, low-latency writes and reads without performance degradation
• Harness the potential of your data, with the industry’s most advanced vector database, to accelerate your AI journey
  

Ready to take your AI strategy to the next level? Reserve your spot now!

Agenda:
* 6:00pm~6:30pm: Checkin, Food/Snacks/Drink and networking
* 6:30pm~8:00pm: Tech talks
* 8:30pm: Q&A and Open discussion

Tech Talk 1: Building a Petabyte-Scale Vector Store: Powering Future AGI
Speaker: Cedric Lunven @Datastax
Abstract: A laptop proof of concept won’t cut it for this impending era of generative AI. Let’s dig into the mechanics of building and using a petabyte-scale vector store and the future of handling data in generative AI models. This talk will focus on the work in the Apache Cassandra® project to develop a vector store capable of handling petabytes of data, discussing why this capacity is critical for future AI applications. I will also connect how this pertains to the exciting new generation of AI technologies like Improved Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Forward-Looking Active Retrieval Augmented Generation (FLARE) that all contribute to the growing need for such scalable solutions. Finally, we’ll discuss the importance of planning for future scalability and how to effectively manage AI agents in this new age of data.

Tech Talk 2: Lessons Learned Building a GenAI Powered App
Speaker: Marc Cohen @Google Cloud
Abstract: Everyone is excited about AI and justifiably so, but can it help us build better apps? This session will focus on a case study: a GenAI powered interactive trivia quiz app running in the Cloud. We will explore the challenges we faced while building the app and how GenAI proved to be a game changer. Join me for a fun and educational session featuring a live demo with audience participation, and some valuable lessons learned.

Tech Talk 3: Generative AI with Azure Machine Learning Service
Speaker: Anil Sener @Microsoft
Abstract: Learn how Azure Machine Learning AI Studio became central to develop, assess, deploy and monitor intelligent agents based on foundation models. Explore its use with OpenAI, open source and partner models and the options to integrate it with databases and knowledge-base.

Tech Talk 4: Vector Search Under the Hood
Speaker: Jonathan Ellis @DataStax
Abstract: Vector search is a critical component of Retrieval-Augmented Generation (RAG). This talk will explain the different approaches taken by vector search indexes, their strengths and weaknesses, and how to use them more effectively in your AI applications.