buildclubProjectSearch

In-memory semantic search; load it up with valtown KV. This is a "dumb" version of vector search, for prototyping RAG responses and UIs — with both regular search (w/ Lunr) and vector search (with OpenAI embeddings + cosine similarity) Usage: import { semanticSearch } from "https://esm.town/v/yawnxyz/semanticSearch"; const documents = [ { id: 1, content: 'cats dogs' }, { id: 2, content: 'elephants giraffes lions tigers' }, { id: 3, content: 'edam camembert cheddar' } ]; async function runExample() { // Add documents to the semantic search instance await semanticSearch.addDocuments(documents); const results = await semanticSearch.search('animals', 0, 3); console.log('Top 3 search results for "animals":'); console.log(results); } runExample();