trailer
Welcome to The Memriq AI Inference Brief
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
New episodes every Monday.
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.
Transcript
In a world... where data flows like rivers through silicon valleys... where machines dare to dream... and algorithms hunger for knowledge... One podcast rises from the digital chaos to bring order to the infinite expanse of artificial intelligence. The Memriq Inference Brief. A saga of vectors and embeddings. Of retrieval... and generation. Of agents who remember... and systems that never forget. This... is the story... of humanity's greatest technological—
MORGAN:Okay, okay, Taylor — I think they get it, mate.
CASEY:Yeah, we're not exactly curing diseases here. It's a podcast about AI.
MORGAN:Well, actually Casey, we have a podcast about how AI is curing diseases coming up soon...
CASEY:Fair point. But for this one, let's keep it grounded.
TAYLOR:I was building dramatic tension!
MORGAN:Mate, you’re introducing a podcast, not the next Christopher Nolan film!
CASEY:Let's maybe just tell people what we actually cover?
MORGAN:Fair enough! Welcome to The Memriq Inference Brief — I'm Morgan.
CASEY:And I'm Casey. We're your hosts for this weekly deep-dive into generative AI, RAG systems, and intelligent agents.
MORGAN:We publish two editions. The Leadership Edition is for executives, product leaders, and decision-makers who need to understand AI capabilities without drowning in implementation details.
CASEY:And the Engineering Edition is for practitioners — AI engineers, data scientists, developers who want the technical substance. Architecture patterns, framework comparisons, code you can actually use.
MORGAN:Each episode, we bring together a panel to break down topics like RAG architectures, agentic systems, LLMs, knowledge graphs, and the rapidly evolving field of AI memory.
CASEY:We're talking agent architectures, MCP, vector databases, semantic search — the building blocks of modern AI systems.
MORGAN:And we go deep on the frameworks and platforms actually being used in production — how they compare, when to use what, and where the field is heading.
CASEY:We can't talk about this podcast without mentioning Memriq AI, who has provided the support and knowledge to bring this all together. Head over to Memriq.ai for practical tools, guides, and deep dives built for AI practitioners.
MORGAN:New episodes drop every Monday.
CASEY:Two editions. Same topic. Different depths.
MORGAN:Leadership Edition if you're making the decisions.
CASEY:Engineering Edition if you're building those systems.
TAYLOR:And if you want me to do the epic voice again—
MORGAN:We're good, Taylor.
CASEY:Maybe for season finales.
TAYLOR:I'll be ready.
MORGAN:That's The Memriq Inference Brief. See you Monday.
CASEY:Let's dig in.
