examples: programs that run, in four languages

Eight of them, each doing something a pipeline actually has to do, and each
starting from something anyone can fetch — a public domain book from Project
Gutenberg, a NASA broadcast, or a sample carried in the file.

Shell, because the tools are filters first: a book to passages and what its
notes cite; a recording to chapter marks, citable passages and the one
ffmpeg call that makes it play on a phone; passages into pgvector and a
search that asks twice and reconciles.

Rust, for the case where the caller already holds the text and a subprocess
would be serialising for nothing. Python, for the shape a pipeline stage
takes once the reading is a library call. TypeScript, for the app side —
chapter marks and deep links, and fusing two rankings in process.

Three of them end with what re-ranking means, because it is two different
things under one name: fusing ranked lists, which is what `rrf` does and
needs no model, and a cross-encoder scoring query and passage together,
which is accurate, slow, and runs over what retrieval already found.

examples/typescript/package.json

@@ -0,0 +1,15 @@
+{
+  "name": "catena-example",
+  "private": true,
+  "type": "module",
+  "scripts": {
+    "chapters": "node --experimental-strip-types src/episode-to-chapters.ts",
+    "search": "node --experimental-strip-types src/search-and-rerank.ts"
+  },
+  "dependencies": {
+    "catena": "file:../../crates/bindings/npm/dist"
+  },
+  "devDependencies": {
+    "@types/node": "^22"
+  }
+}