Name: Unstructured Data in LLMs - South Bay Edition
Start: 2024-05-23T00:30:00.000Z
End: 2024-05-23T03:30:00.000Z
Location: 3412 Hillview Ave

This is an in-person event! [Registration](https://lu.ma/l1lch1zk) 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 we’ll do:**
Have some food and refreshments. Hear three exciting talks about unstructured data and generative AI.

5:30 - 6:00 - Welcome/Networking/Registration
6:05 - 6:30 - [Christy Bergman,](https://www.linkedin.com/in/christybergman/) Dev Advocate, [Zilliz](https://zilliz.com/)
6:35 - 7:00 - [Charles Packer](https://www.linkedin.com/in/charles-packer/) and [Sarah Wooders](https://www.linkedin.com/in/wooders/), Co-founders, [MemGPT.ai](MemGPT.ai)
7:05 - 7:30 - [Idan Gazit](https://www.linkedin.com/in/ACoAAACcJ0YBv96TiK-sKjhGyQaLv4TwWn-jlIM?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base%3B6R0CFyDNSsaTKrcQD7JtQg%3D%3D), Senior Director of Research, [GitHub Next](https://githubnext.com/)
7:35 - 7:45 - Community demos - [wordware.ai](https://www.wordware.ai/)
7:45 - 8:30 - Networking

**Who Should attend:**
Anyone interested in talking and learning about Unstructured Data and Generative AI Apps.

**When:**
May 21, 2023
5:30PM

​**Tech Talk 1**: Introduction to Open Source RAG and RAG Evaluation
**Speaker**: Christy Bergman
**Abstract**: You’ve heard good data matters in Machine Learning, but does it matter for Generative AI applications? Corporate data often differs significantly from the general Internet data used to train most foundation models. Join me for a demo on building an open source RAG (Retrieval Augmented Generation) stack using Milvus vector database for Retrieval, LangChain, Llama 3 with Ollama, Ragas RAG Eval, and optional Zilliz cloud, OpenAI.

​**Tech Talk 2**: Introduction to Memory Augmented Chat
**Speakers**: Charles Packer and Sarah Wooders

​**Tech Talk 3**: Copilot Workspace: What it is, how it works, why it matters
**Speaker**: Idan Gazit
**Abstract**: Copilot Workspace recently launched into technical preview! Bring your popcorn and come see a live demo of it in action. We'll talk a little bit about the AI developer tooling landscape, what comes after chat, and how these tools should help us to create.

**Where:**
This is an in-person event. Registration [using this form](https://lu.ma/l1lch1zk) is required to get into the event. Registration in advance will close 2 days before the event. Sponsored by [Zilliz](http://zilliz.com/) maintainers of [Milvus](https://github.com/milvus-io/milvus).

Can't make it in person? We will also be streaming live: https://www.twitch.tv/vectordatabase

Unstructured Data Meetup Bay Area

Christy Bergman

Brennan Gaunce

Karthik Rajagopalan

Unstructured Data in LLMs

88 Colin P Kelly Jr St

This is an in-person event! [Registration](https://lu.ma/etzdu39a) is required in order to get in.

**Topic:** Connecting your unstructured data with Generative AI

**What we’ll do:**
Have some food and refreshments. Hear three exciting talks about unstructured data and generative AI.
5:30 - 6:30 - Welcome/Networking/Registration
6:35 - 7:00 - [Jiang Chen](https://www.linkedin.com/in/jiang-0616/), Head of Ecosystem & AI Platform, [Zilliz](http://zilliz.com/)
7:05 - 7:30 - [Chris Rec](https://www.linkedin.com/in/chrisrec/), Co-Founder, [Whyhow.ai](http://Whyhow.ai)
7:35 - 8:00 - [Lucy Park](https://www.linkedin.com/in/echojuliett/), Co-founder & CSO, [Upstage](https://www.upstage.ai/)
8:00 - 8:30 - Networking

**Who Should attend:**
Anyone interested in talking and learning about Unstructured Data and Generative AI Apps.

**When:**
May 22, 2024
5:30PM

**Tech Talk 1:** Advanced RAG Techniques
**Speaker**: Jiang Chen, Zilliz
**Abstract**: While achieving a basic Retrieval Augmented Generation (RAG) is relatively straightforward, attaining superior results requires tuning and optimizing various factors, such as a careful selection of embedding models. Additionally, applying advanced techniques, such as multi-stage retrieval with rerankers, is essential. A methodology for quality evaluation is also critical to success in crafting the best strategy for your specific use case. This talk will introduce the landscape of available optimization techniques and provide advice on best practices.

**Tech Talk 2:** Knowledge Graphs in RAG with WhyHow AI
**Speaker**: Chris Rec, Co-Founder
**Abstract**: WhyHow helps developers build more accurate, deterministic RAG applications using the power of knowledge graphs. Our platform simplifies and streamlines graph creation, management, and integration. In this talk we'll discuss our approach to knowledge graph creation, explore common patterns in graph RAG, and share demos of the WhyHow platform, currently in beta.

**Tech Talk 3**: Full-stack LLM for Enterprise Use Cases
**Speaker**: Lucy Park, Upstage
**Abstract:** In this talk, we will walk through how to leverage Upstage's full-stack LLM components to create RAG-based applications for enterprise customers

**Where:**
This is an in-person event at SAP Palo Alto. Registration is required to get into the event. Registration in advance will close 2 days before the event.

​This event is co-sponsored by [Zilliz](http://zilliz.com/) (maintainers of [Milvus](https://github.com/milvus-io/milvus)) and SAP.

Chris

Vincent Keelan

Angela Wei

Unstructured Data in LLMs - South Bay Edition

3412 Hillview Ave

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