MongoDB GenAI Summit: Data, Retrieval & Agentic Systems

Join MongoDB and the Adobe Armenia developer community for a series of technical enablement workshops analyzing how to unleash the power of GenAI with MongoDB. Our hands-on labs will feature experts from MongoDB in the field of artificial intelligence and vector databases to explore the latest advancements and applications in generative models, databases, and retrieval-augmented generation (RAG). Key areas of focus include:

• Deep dive sessions on the development and deployment of generative AI with the MongoDB data platform.
• Discussions focused on integrating retrieval methods with generative models to enhance response accuracy and relevance.
• Participate in hands-on sessions for practical insights into AI innovation and application.

Language: English

We hope to see you there!

Info: Collect your SWAG & meet the MongoDB Team

Info: The Fragmentation Tax: Why "bolting on" a vector database creates latency and sync issues. Document Model = AI Model: Why the flexible schema is perfect for evolving LLM inputs/outputs. Unified Intelligence: Keeping operational data, metadata, and vectors in one place for Adobe-scale apps.

Info: Creating a schema for a relational database is a straightforward process, but designing a schema for a MongoDB application may seem a little more challenging. However, it doesn't have to be if you follow the main principles that MongoDB has identified for its users. This talk covers these data modeling principles and provides modeling tips to help you define the most effective document schema for your workload.

Info: Join us to discover how to enrich your application and power AI capabilities with semantic search using Voyage AI’s best-in-class embedding models and MongoDB Atlas Vector Search. In this workshop, you will learn the basic concepts of vector search and how it works with Voyage AI and MongoDB. Then, you'll gain hands-on experience with vector search by building a content recommendation system of your own.

Info: Learn about the newly released Voyage 4 models. Deep dive into the "Shared Embedding Space" that allows you to switch between models (Large vs. Lite) without re-indexing your data.

Info: LLMs are great at answering generic questions, but how do you get them to answer questions about your organization’s data? In this workshop, you will learn the foundational concepts of Retrieval Augmented Generation (RAG), including chunking, embedding, and semantic search. You will also gain hands-on experience by building an end-to-end, RAG-based chatbot using Voyage AI embeddings, MongoDB Atlas, and Claude, GPT, or Gemini.

Event Venue & Nearby Stays

Holiday Inn Yerevan - Republic Square, an IHG Hotel, 2 Amiryan Street, Yerevan, Armenia

Concerts, fests, parties, meetups - all the happenings, one place.

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