WeSearch

Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations

angela shi· ·10 min read · 0 reactions · 0 comments · 11 views
#prompt#engineering#enough#four#bricks
Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations
TL;DR · WeSearch summary

Large Language Models Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations Enterprise Document Intelligence [Vol.1 #9bis] – Your RAG isn’t hallucinating, it’s answering the wrong context faithfully. On real NIST and World Bank documents, watch each of the four bricks break, and the contract that closes it angela shi Jul 21, 2026 11 min read Share Photo by Tibor Szabo, via Pexels. In the previous two articles (Part A and Part B) we built the upgraded pipeline and watched it work: pointed at a research paper, a NIST standard, and a report with a broken table of contents, it returned a typed, cited answer each time.

Key facts
Original article
Towards Data Science · angela shi
Read full at Towards Data Science →
Opening excerpt (first ~120 words) tap to expand

Large Language Models Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations Enterprise Document Intelligence [Vol.1 #9bis] – Your RAG isn’t hallucinating, it’s answering the wrong context faithfully. On real NIST and World Bank documents, watch each of the four bricks break, and the contract that closes it angela shi Jul 21, 2026 11 min read Share Photo by Tibor Szabo, via Pexels. In the previous two articles (Part A and Part B) we built the upgraded pipeline and watched it work: pointed at a research paper, a NIST standard, and a report with a broken table of contents, it returned a typed, cited answer each time.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments