AI Agents Memory System + Practical Agents w Gemini Embedding 2 Simplified RAG Search w Rich Context
A deep-dive into AI memory systems and multimodal RAG search using Gemini Embedding 2, featuring technical talks and a hands-on workshop in Singapore.
AI Agents Memory System + Practical Agents w Gemini Embedding 2 Simplified RAG Search w Rich Context
A deep-dive into AI memory systems and multimodal RAG search using Gemini Embedding 2, featuring technical talks and a hands-on workshop in Singapore.
A comprehensive meetup and workshop focused on advanced AI agent capabilities. The event features two primary talks: 1. Practical AI from Gemini Embedding 2: Exploring how multimodal retrieval pipelines simplify RAG systems by allowing users to search across text, images, audio, and video in a single shared understanding layer. This reduces preprocessing needs and provides richer context for AI systems. 2. Designing Memory Systems for AI Agents: A practical workshop on architecting memory systems for production. Topics include memory types, storage patterns, retrieval strategies (vector search, metadata, recency), and memory lifecycle management. Attendees will build memory into an AI agent using Jupyter Notebook templates and can earn a skill badge from MongoDB. Dinner with high-quality protein options is provided, followed by networking opportunities.