Tech Events & Workshops
Discover and join virtual tech events, workshops, and meetups from the Ubuntu community worldwide. Connect with developers, engineers, and tech enthusiasts.
Today
Upcoming
Virtual
Total
Building Document Question-Answering Systems with Rust
A practical two-hour session on the principles behind document question-answering systems, with Rust as the implementation context. The session focuses on how applications can answer questions from a known set of documents instead of relying only on what a language model already knows. We will cover the core workflow: loading documents, preparing them for search, finding relevant passages, passing useful context to a model, and producing answers that stay connected to the source material. The goal is to teach the engineering ideas behind RAG systems without turning the session into a product demo or an abstract AI lecture. The emphasis is on system boundaries, retrieval quality, answer grounding, error handling, and the practical decisions developers need to make when building document-aware applications. Audience: entry-level and intermediate developers who want a practical session on document search, retrieval, grounded generation, and Rust application design. Outcomes: * Understand how document-based question answering systems work * Explain the purpose of chunking, embeddings, retrieval, and context assembly * Design a simple retrieve-first, answer-second workflow * Use Rust to organize the main parts of a small RAG application * Recognize common causes of poor or unsupported answers * Apply basic techniques for improving retrieval and answer quality * Think about how to evaluate whether the system is actually useful Format: two hours with a short framing walkthrough, a concrete example, discussion of tradeoffs, and a closing checklist for practice.
View EventBuilding Document Question-Answering Systems with Rust
A practical two-hour session on the principles behind document question-answering systems, with Rust as the implementation context. The session focuses on how applications can answer questions from a known set of documents instead of relying only on what a language model already knows. We will cover the core workflow: loading documents, preparing them for search, finding relevant passages, passing useful context to a model, and producing answers that stay connected to the source material. The goal is to teach the engineering ideas behind RAG systems without turning the session into a product demo or an abstract AI lecture. The emphasis is on system boundaries, retrieval quality, answer grounding, error handling, and the practical decisions developers need to make when building document-aware applications. Audience: entry-level and intermediate developers who want a practical session on document search, retrieval, grounded generation, and Rust application design. Outcomes: * Understand how document-based question answering systems work * Explain the purpose of chunking, embeddings, retrieval, and context assembly * Design a simple retrieve-first, answer-second workflow * Use Rust to organize the main parts of a small RAG application * Recognize common causes of poor or unsupported answers * Apply basic techniques for improving retrieval and answer quality * Think about how to evaluate whether the system is actually useful Format: two hours with a short framing walkthrough, a concrete example, discussion of tradeoffs, and a closing checklist for practice.
View Event
🤖 Build Smarter AI Workflows with Flowise AI
Join us for an exciting **2-hour practical session** exploring **Flowise AI** - the revolutionary no-code/low-code platform that puts the power of AI application development in your hands! 🚀 ## 🎯 What You'll Master: ✨ **Visual AI Workflow Design** - Create sophisticated AI applications without deep coding knowledge 📚 **RAGs Implementation** - Pull from your own data sources for precise, reliable answers 🧠 **LLM Integration** - Power chatbots, assistants, and knowledge tools with large language models 🤖 **AI Agents** - Automate multi-step tasks and intelligent decision-making processes ## 💡 What You'll Gain: By the end of this session, you'll have: - A clear understanding of Flowise AI's capabilities - Real-world examples you can immediately adapt to your projects - Confidence to build your own AI-powered solutions - Practical skills in no-code AI development Perfect for developers, entrepreneurs, and tech enthusiasts looking to leverage AI without extensive programming! #### Connect with our community: - [💬 Discord](https://discord.gg/48dVXMenP9) - [📱 WhatsApp](https://chat.whatsapp.com/Ic2PPvxzy8KCkB8Ww5kR39) - [💼 LinkedIn](https://www.linkedin.com/showcase/the-ubuntu-techhive) - [🌐 Site Web](https://ubuntuhive.tech/)
