Posted inAI & LLMs PHP Tutorials RAG Tutorial Series
Bonus 2 — Local News RAG: Recency-Aware Answers & Multi-Source Citations
The last piece Bonus 1 left us able to fetch, dedup, and retrieve today's news.…
Bonus 1 — Local News RAG: Pointing the Pattern at Live Data
Same skeleton, live target You just built a support bot over static documents. This bonus…
Posted inAI & LLMs PHP Tutorials RAG Tutorial Series
Episode 8 — Evaluating & Shipping
From "seems good" to "measurably good" to "live" For two episodes I've been repeating the…
Episode 7 — Improving Quality: Hybrid Search, Reranking & Guardrails
"Works on my questions" isn't "works" Episode 6 gave us a real, grounded, cited bot.…
Posted inAI & LLMs PHP Tutorials RAG Tutorial Series
Episode 6 — Generation: Grounded Answers with Citations
The last mile Five episodes of groundwork come together here. We can load documents, chunk…
Posted inAI & LLMs PHP Tutorials RAG Tutorial Series
Episode 5 — Retrieval: Top-K, Thresholds & Filtering
Our search is fast, but it isn't smart After Episode 4, MySQL ranks our chunks…
Episode 4 — Scaling the Vector Search in MySQL
The problem hiding in our search Episode 3 ended on a high: ask "how do…
Episode 3 — Embeddings & Your First Similarity Search
The gap we have to close At the end of Episode 2 we had chunks.json:…
Posted inAI & LLMs PHP Tutorials RAG Tutorial Series
Episode 2 — Preparing the Knowledge Base: Loading & Chunking Your Docs
Where we left off In Episode 1 we cheated. We pasted Nimbus's refund policy into…
Posted inAI & LLMs PHP Tutorials RAG Tutorial Series
Episode 1 — What Is RAG, and Why Should You Care?
The problem, in one support ticket Imagine a customer opens a chat on Nimbus's website…