Unstructured Data in LLMs

Topic: Connecting your unstructured data with LLMs
​We are meeting for another happy hour/discussion group about Unstructured Data and its future in machine learning and LLM apps!

What we’ll do:
Have some snacks and refreshments. Have a couple of talks and then unstructured networking.

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​Schedule
6:00-6:55 - Open Doors, food and open networking
7:00-7:30 - Full Text Search with Milvus 2.5 - Stephen Batifol, Zilliz
7:30-8:00 - Building the Next-Gen Apps with Multimodal Retrieval using Twelve Labs & Milvus - Hrishikesh Yadav, TwelveLabs
8:00-8:05 - Small Break
8:05-8:30 - Voice-to-Value: LLM-Powered Customer Interaction Analysis - Adam Madacsi, On Cloud
9:00-10:00 - Networking
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​Who Should attend:
Anyone interested in talking and learning about Unstructured Data and LLM Apps.

​When:
Jan 23rd, 2024
6:00PM
On Cloud.

Sponsored by Zilliz & On Cloud

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​Tech Talk 1: Full Text Search with Milvus 2.5
Speaker: Stephen Batifol, Developer Advocate, Zilliz
Abstract: Milvus 2.5 introduces text search by introducing native full text search capabilities, seamlessly combining term-based matching with vector similarity in a single system. This feature automatically handles text-to-vector conversion and real-time BM25 scoring, eliminating the complexity of manual embedding generation and external processing pipelines.

Through a live demo, we'll showcase how easy we make it to use Full Text search now :D
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Tech Talk 2: Building the Next-Gen Apps with Multimodal Retrieval using Twelve Labs & Milvus
Speaker: Hrishikesh Yadav, Developer Advocate, TwelveLabs
Abstract: This session dives deep into the power of Multimodal Retrieval, a revolutionzing approach that enhances personalization by seamlessly integrating diverse data sources for more intuitive product interactions. Explore the foundational concepts of Multimodal Embedding and Any-to-Any Search, and learn how to leverage these technologies to build next generation products. Discover how to seamlessly integrate the Twelve Labs Embed API and Milvus into your projects.

Through live demos, you’ll see how Fashion Product Search is redefined with deeper insights into the architecture, and discover how this approach is revolutionizing user interactions, especially with bots. We’ll also explore real world case studies that demonstrate the ease and power of building multimodal apps.
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Tech Talk 3: Voice-to-Value: LLM-Powered Customer Interaction Analysis
Speaker: Adam Madacsi, Engineering Lead, On Cloud
Abstract: Explore the transformative potential of Voice AI in customer interaction analysis powered by LLMs. Learn how Gemini 2.0 enables transcription, summarization, and actionable insight extraction to streamline ticket resolution and enhance customer experiences.

This session delves into the architecture and practical applications of LLM-powered systems, showcasing how they revolutionize customer support workflows through real-world examples and insights

​Check out Zilliz blog, join our Discord and Milvus Github

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​📸​​​Important note: Please be advised that this event will be recorded and photographed. If you prefer not to be included in any recordings or photographs, please do not hesitate to let us know during the event. Your comfort and privacy are important to us.