- Multimodal RAG in Action: A Developer’s Guide to Building Reliable AI Agents with Text, Image, and Knowledge Graph Retrieval
- AI Agents Powered by Supabase Vectors: Design, deploy, and optimize goal-oriented agents with seamless vector similarity search
- JSON Prompting for AI Agents: Build Predictable, Maintainable AI Pipelines with Schema-Driven Prompts
- Developers Handbook on Vector Databases for AI Agents: From Embeddings to Intelligent Agents (Building Production-Ready AI Agents)
- Building Agentic AI Systems with DSPy: From Reasoning Modules to Tool-Using LLMs

















