About this episode

The episode discusses the limitations of the RAG pattern in improving AI reliability.

SUMMARY: The RAG (Retrieval Augmented Generation) pattern is one of the most frequently used to augment LLMs with context-specific information. Let’s explore RAG. GUEST: Roie Schwaber-Cohen, Head of Developer Relations at Pinecone SHOW: 1018 SHOW TRANSCRIPT: The Reasoning Show #1018 Transcript SHOW VIDEO: https://youtu.be/-kZZEMR341Q SHOW SPONSORS: Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES: Topic ...

Sponsors

Nasuni, ShareGate

More episodes of The Reasoning Show

• The Zero-CVE Mirage: Hardening Software in the Age of AI Attacks · April 26, 2026 · 35 min
• The Grid’s Breaking Point: Can AI Save the Infrastructure It’s About to Crash? · April 22, 2026 · 25 min
• Shadow AI is Faster Than Your Governance: Why Guardrails are Failing · April 19, 2026 · 29 min
• The Junior Dev Crisis: Who Inherits the Code When AI Does the Work? · April 15, 2026 · 33 min
• The Productivity Paradox: Why More AI Code is Slowing Down Shiptimes · April 8, 2026 · 34 min
• The Production Chaos: Why AI-Generated Code is Breaking Traditional SRE · April 5, 2026 · 33 min

Explore listener stats, chart rankings, contacts and more on the The Reasoning Show podcast page.