Savflux AI
A retrieval-augmented assistant over Savflux's own content — projects, articles, experiments.
Last updated September 1, 2026
Question
Can a visitor to Savflux ask natural-language questions about the site’s content and receive accurate, cited answers?
Examples:
- “What has Freedom built with Cloudflare Workers?”
- “Show me his AI projects.”
- “Explain the PrimeShieldHub architecture.”
- “What is he currently working on?”
Hypothesis
A retrieval-augmented generation (RAG) system over Savflux’s own content could answer these — with citations back to the source pages, and without hallucinating.
Approach
- Index all projects, experiments, and articles at build time
- Embed the content into a vector store (Cloudflare Vectorize, once available)
- On query, retrieve the top-k relevant chunks
- Feed them into a language model with strict instructions to cite sources
- Return an answer with links to the source pages
Current State
Research. Evaluating Cloudflare’s AI stack — Workers AI, Vectorize, and the available embedding models.
Why This Is Interesting
An AI assistant that cites its sources is trustworthy. An AI assistant that invents facts is a liability. The technical problem is not generation — it’s retrieval and grounding.
If this works, it becomes a template for any content-driven site that wants to offer conversational access to its knowledge.