Wrap-up and What Comes Next (opens in new tab)

In this final article, we'll recap what we built across the series, consolidate the design decisions, and point to where to go next. What We Built Starting from a blank Python project, we built a complete AI system step by step: 01_setup_db.py pgvector table + extension 02_create_index.py HNSW index (m=16, ef_construction=64) 03_ingest.py Embed documents → store in pgvector 04_search.py Cosine similarity search 05_rag.py Full RAG pipeline 06_tool_basic.py LLM decides whether to search 07_tool...