Tuesday Tech Talks: Graph Based RAG w/ Demo
- Date
- 2024-06-04
- Host
- Open Source for AI
About this event
If you’re curious about where retrieval-augmented generation is going next, this session is built for you. Tuesday Tech Talks: Graph Based RAG w/ Demo brings the conversation down to earth with a practical look at graph-based approaches and a live demo, so you can see how the ideas work instead of just hearing abstract claims. This is the kind of meetup where you can sharpen your technical instincts, compare notes with other people working in AI and data, and leave with a clearer mental model of when graph-based RAG is useful. It’s also a strong fit if you simply want a smart way to spend a Tuesday morning with people who care about real-world applied tech. What Is This? This is an in-person tech community meetup focused on graph-based RAG. The session centers on how graph structures can be used alongside retrieval-augmented generation to improve context, relationships, and reasoning in AI workflows, with a demo to make the concepts tangible. Rather than treating RAG as a black box, this talk creates space to look at how information can be modeled more intentionally. A graph-based approach can change how systems connect entities, surface relevant context, and navigate complex data, and this event is a chance to explore that in a practical, discussion-friendly setting. The format is designed to be approachable whether you’re deep in the weeds of applied AI or still building your understanding of the landscape. You can expect a mix of technical explanation, live demonstration, and community conversation rather than a purely academic lecture or a sales-style presentation. Because this is part of a Tuesday Tech Talks meetup, the event also carries the value of a recurring community touchpoint. It’s not only about the topic itself; it’s about meeting other people who are actively thinking through similar questions around tooling, architecture, experimentation, and what actually works in practice. What to Expect The session will likely move from concept to application in a way that helps the room stay aligned. You can expect the talk to establish a shared foundation first, then build toward the demo so attendees can connect the theory to a visible workflow or implementation pattern. A typical flow for a meetup like this includes: Welcome and settling in with time to meet other attendees An overview of graph-based RAG and why it matters A live demo showing the approach in action Discussion and informal networking with the community afterward The most useful part of a demo-driven session is that it exposes the tradeoffs. Instead of only hearing what graph-based RAG promises, you get to observe how the pieces fit together, what kinds of data relationships matter, and where this approach may offer advantages over simpler retrieval setups. Because the event includes a community and networking element, there’s also value before and after the formal talk. Conversations with other attendees often reveal how different teams are thinking about search, knowledge organization, LLM context management, and production constraints. Even brief exchanges can give you new frameworks, cautionary notes, or tools to explore later. Why Attend If you work with AI systems, knowledge-heavy products, internal tools, or data-rich applications, this topic matters because retrieval quality shapes downstream output quality. Better retrieval design can affect relevance, explainability, and how confidently a system handles interconnected information. This event is especially valuable because it combines topic depth with practical access. You’re not just reading another post about emerging patterns in RAG. You’re showing up in a room with other technically curious people, seeing a demo, and gaining a more usable understanding of a method that is becoming increasingly important in applied AI conversations. You might attend because you want to: Understand what makes graph-based RAG different from more standard retrieval approaches See a real demonstration that turns a technical idea into something concrete Ask sharper questions about architecture, context modeling, and knowledge representation Meet people interested in AI, data, and modern application design Stay current without having to sort through hype on your own There’s also a broader career and community benefit here. Meetups like this help you build technical taste: not just what is possible, but what is useful, where complexity is justified, and how other practitioners are evaluating new patterns. That perspective compounds over time. Practical Details Location: In person Date: Tuesday, June 4 Time: 9:00 AM PDT Because this is an in-person morning event, plan to arrive a little early if you want time to settle in and connect with others before the talk starts. Early arrival is often the easiest moment for casual introductions, especially if you’re coming solo or hoping to meet other attendees working in similar areas. This event carries a mix of tech, community, networking, meetup, and social energy, so expect a setting that supports both learning and conversation. You can come ready to focus on the session itself, but it’s worth leaving space for follow-up discussion, idea exchange, and a few thoughtful questions. A good way to get the most out of the morning is to come with a bit of context in mind: what kinds of retrieval problems interest you, where graph structures might matter in your own work, and what you want to better understand by the end of the demo. That preparation will make the session more useful and make networking afterward more specific and productive. If graph-based RAG has been on your radar, or if you want a practical entry point into the topic, this is a strong reason to get in the room. You’ll leave with clearer language for the concept, a better sense of its application, and new connections with people paying attention to the same shift.
Who should attend
This is for people who want a more practical, grounded understanding of applied AI topics and enjoy learning in a room with other technically curious attendees. - You’re **building with LLMs or retrieval workflows** and want to understand when a graph-based approach might improve relevance, context, or structure. - You work in **engineering, data, ML, product, or technical strategy** and want a sharper mental model of how modern AI systems handle connected information. - You learn best from **live demos**, where you can see how an idea plays out instead of piecing it together from scattered posts or docs. - You’re interested in **knowledge graphs, search, semantic retrieval, or AI architecture** and want to compare concepts with others who are actively exploring the space. - You value **community and networking** as part of the learning experience and want to meet people who care about practical technical questions, not just headlines. - You’re early in this topic but comfortable with technical conversations and want an accessible way to get up to speed without needing to be an expert first.