RAG, Agents, & Code Security: Applied AI Frameworks in Production

Short summary

A newsletter roundup covering two AI developments: a practical guide to implementing RAG in Laravel using pgvector for embeddings, and Google's new Agentic Resource Discovery Specification for standardizing how AI agents find and interact with tools and APIs. The RAG guide demonstrates generating vector embeddings, storing them in PostgreSQL, and performing similarity searches to ground LLM responses. The Google specification aims to enable interoperability across agent platforms for dynamic resource discovery.

• •RAG implementation in Laravel using pgvector for domain-specific knowledge bots
• •Google announces Agentic Resource Discovery Specification for AI agent interoperability
• •Both items address making AI systems more context-aware and autonomous

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