Your weekly briefing on RAG, agents, and AI memory systems.

The Memriq Inference Brief is a panel-style podcast breaking down the technologies reshaping how we build intelligent systems — from retrieval-augmented generation to agentic architectures to the emerging field of AI memory.

Two editions. Same topic. Different depths.

🎯 Leadership Edition — For executives, product leaders, and decision-makers who need to understand AI capabilities without drowning in implementation details.

🛠️ Engineering Edition — For AI engineers, data scientists, and developers who want the technical substance: architecture patterns, framework comparisons, and code you can actually use.

Topics we cover:

• RAG architectures and retrieval systems
• Agentic AI and agent architectures
• LLMs and prompt engineering
• Knowledge graphs and semantic search
• Vector databases and embeddings
• AI memory systems (episodic, semantic, procedural)
• MCP (Model Context Protocol)
• Framework deep-dives and platform comparisons

A cornerstone of the content is Keith Bourne’s Packt release, Unlocking Data with Generative AI and RAG, 2nd edition. We’ve built episodes and companion explanations around the concepts in the book—RAG fundamentals, GraphRAG, agent memory, intelligent recall, and how to ship this stuff responsibly.

This podcast is produced by Memriq AI — head to Memriq.ai for practical tools, guides, and deep dives built for AI practitioners.