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With Tengyu Ma (CoFounder, VoyageAI), James Luan (VP Engg, Zilliz), Laurie Voss (VP Dev Relations, LlamaIndex).
Wed, Apr 17, 2024 @ 12:30 AM   FREE   Venue, 88 Colin P Kelly Jr St
 
   
 
 
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EVENT DETAILS

This is an in-person event! Registration using this form is required in order to get in. Github will email you a form the day before the event, which you will need to complete for your access pass.


Topic: Connecting your unstructured data with Generative AI


What well do:

Have some food & refreshments. Hear three exciting talks about unstructured data & generative AI.


5:30 - 6:30 - Welcome/Networking/Registration

6:35 - 7:00 - Tengyu Ma, Co-founder, VoyageAI

7:05 - 7:30 - James Luan, VP Engineering, Zilliz

7:35 - 8:00 - Laurie Voss, VP Developer Relations, LlamaIndex

8:00 - 8:10 - Community demos

8:10 - 8:30 - Networking


Who Should attend:

Anyone interested in talking & learning about Unstructured Data & Generative AI Apps.


When:

April 16, 2023

5:30PM


Tech Talk 2: Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost

Speaker: James Luan

Abstract: If you are building a RAG application that serves millions of users, you should consider how to scale your system seamlessly & cost-efficiently. The Zilliz Serverless tier represents a significant innovation in the field of vector search, enabling you to rapidly scale to millions of tenants & billions of vectors, while fully leveraging the hot/cold characteristics across tenants to reduce data storage costs. It enables vector storage at costs comparable to S3 & facilitates vector search times in the hundreds of milliseconds for tens of millions of data points!


In this talk, we will delve into the implementation details, usage patterns, & performance metrics of Zilliz Serverless. We will discuss how it empowers AI-native applications to achieve rapid business growth by providing a cost-effective & scalable vector storage & search solution.


Tech Talk 3: Advanced Retrieval-Augmented Generation apps with LlamaIndex

Speaker: Laurie Voss

Abstract: Retrieval-Augmented Generation (RAG) is critical to LLM-powered applications & LlamaIndex is critical to getting up & running with RAG. This talk will start with the basics of how RAG works under the hood & show you how to build a basic RAG app, ending with advanced RAG techniques to get you into production.


Where:

This is an in-person event. Registration using this form is required to get into the event. Registration in advance will close 2 days before the event. Sponsored by Zilliz maintainers of Milvus.

 
 
 
 
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