The original title is "Building a RAG System from Scratch — Wrap-up and What Comes Next"

Short summary

This wrap-up recaps a 13-part RAG tutorial building production-ready systems with pgvector, Gemini embeddings, and LLM agents. Key decisions: 768-dim embeddings, HNSW indexing, MCP servers for tool reuse, and Render+Supabase cloud deployment. Volume 2 will cover evals, observability, security, MLOps, fine-tuning, multi-agent orchestration, and EU AI Act compliance.

• •Complete RAG system recap: pgvector + Gemini + agents + MCP servers
• •Design decisions documented: embedding dimensions, indexing strategy, deployment architecture
• •Volume 2 preview: production readiness (evals, observability, security, MLOps, governance)

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