WordierPress module

Let readers search by meaning, not just exact words.

Sairch helps readers and site owners rediscover deep archive value by finding related ideas, themes, and meaning across published work.

They overlap, but they are not the same.

Sairch = find things.
- semantic search
- “show me relevant posts/pages”
- returns links/results/snippets
- reader-facing discovery
- local/peer/hosted vector search

RagPress = use found things as knowledge.
- retrieval + generation
- “answer this using my archive”
- drafts, summaries, Q&A, research, synthesis
- pulls relevant corpus chunks, then feeds AI
- more author/owner/tooling oriented

Simple split:

- Sairch: “Find the best source material.”
- RagPress: “Use the source material to produce an answer/output.”

They should work together:
1. Sairch indexes/searches the corpus.
2. RagPress retrieves via Sairch.
3. RagPress sends selected context to AI.
4. AI returns answer/draft/summary with citations back to source posts.

So RagPress depends on Sairch-like retrieval, but adds the AI/workflow layer.

Sairch benefits

Make large archives easier to explore.
Surface related writing by meaning.
Help readers find what they cannot quite name.
Make your old work valuable again.