tag: rag
articles: 2 · beats: 2
latest: September 1, 2026
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Rag
2 Crashtech articles on Rag, spanning How AI Actually Works and Building Flocci, published between July 2026 and September 2026. Every piece is full-text HTML with sources, structured data and an authored FAQ.
They span How AI Actually Works (1), Building Flocci (1). How AI Actually Works Building Flocci
RAG vs Agentic RAG: Why Retrieval Needed to Become a Decision
Traditional RAG retrieves once and answers. Agentic RAG lets the system decide what to retrieve, from where, and whether the first answer was even good enough.
Flocci Chat: The Support Bot That Learns From the People It Serves
An embeddable AI support widget that fills its own knowledge base from real visitor browsing, cites its sources, and escalates only when a human should.
Questions we answer about Rag
- What is RAG, in one sentence?
- What specifically does Agentic RAG add on top of traditional RAG?
- Why isn't traditional RAG enough for complex questions?
- Does Agentic RAG always produce better answers than traditional RAG?
- What tools does an Agentic RAG system typically choose between?
- How does Flocci Chat know about my website?
- Will it work on my JavaScript-heavy or no-code site?
- How do I trust the answers? Does it make things up?
- What happens when the AI can't help?
- Can it give account-specific answers, like order status?
Frequently asked questions
What does Crashtech publish about Rag?
2 articles tagged Rag, the most recent published September 1, 2026. They span How AI Actually Works (1), Building Flocci (1). Each carries numbered sources, an authored FAQ and full structured data.
What questions about Rag does Crashtech answer directly?
10 questions have a dedicated answer page under this tag, including “What is RAG, in one sentence?”. Each answer is authored prose from the article it belongs to, not a generated summary.
Can AI assistants read Crashtech's Rag coverage?
Yes. Crashtech serves full static HTML to every crawler, allows all major AI user agents in robots.txt, and publishes an llms.txt manifest plus a full-text corpus, so assistants can retrieve and cite these articles directly.