Welcome to the AI meetup in Toronto. Join us for deep dive tech talks on AI, GenAI, LLMs and Agent, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.

Agenda:
* 5:30pm~6:00pm: Checkin, Food/drink and networking
* 6:00pm~7:00pm: Tech talks and Q&A
* 7:00pm~7:30pm: Open discussion and closing

Tech Talk: The Pragmatic RAG Stack: Building a Mostly Open-Source, Local Agent
Speaker: Glen Yu (Google Developer Expert)
Abstract: Modern retrieval-augmented generation promises grounded, accurate AI responses, but most production implementations are locked inside rigid, proprietary ecosystems. This talk pulls back the curtain on building a flexible, high-visibility alternative.
We'll walk through architecting a (mostly) open-source, local RAG agent from ingestion to inference. We'll explore a powerful hybrid stack: open-source document parsing with Docling, local vector storage with LanceDB, and local model inference via Ollama and ADK—paired with Cohere's embedding and reranking models. Along the way, we'll dig into the engineering choices behind the architecture:
* The Foundation: Why you chunking strategy matters
* The Retrieval: Why hybrid search beats pure vector search for complex regulatory documents
* The Refinement: Why a reranking stage is essential to providing quality answers

Tech Talk: ​Building Persistent, Infinite Memory for AI Agents
Speaker: Tara Khani (Moorcheh) | Dr. Majid Fekri, CTO & Co-Founder, Moorcheh.ai
Abstract: As AI workflows transition from static RAG to autonomous coding agents (like Cursor and Claude Code), traditional vector databases introduce a catastrophic "RAM Tax" and passive retrieval bottlenecks. This session covers the architecture of Memanto by Edge AI Innovations, an open-source active memory agent built on an Information-Theoretic semantic engine. We will break down how to replace passive data ingestion with a three-primitive memory loop (remember, recall, answer) that gives agents persistent, cross-session context. We will demonstrate how Memanto achieves state-of-the-art accuracy on LongMemEval while running entirely on-premise, slashing infrastructure overhead by 90% and scaling to trillions of workloads without indexing delays.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue:
St. Paul Bloor, 227 E Bloor St, Toronto

Sponsors:
We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Toronto or 500K+ worldwide.

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers;