Improved examples [skip ci]

Author: ankane

examples/sparse-search/example.js

@@ -47,7 +47,6 @@ const input = [
   'The cat is purring',
   'The bear is growling'
 ];
-
 const embeddings = await embed(input);
 for (let [i, content] of input.entries()) {
   await client.query('INSERT INTO documents (content, embedding) VALUES ($1, $2)', [content, new SparseVector(embeddings[i], 30522)]);

examples/transformers/example.js

@@ -11,7 +11,7 @@ await pgvector.registerTypes(client);
 await client.query('DROP TABLE IF EXISTS documents');
 await client.query('CREATE TABLE documents (id bigserial PRIMARY KEY, content text, embedding vector(384))');
 
-const extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2', {dtype: 'fp32'});
+const extractor = await pipeline('feature-extraction', 'Xenova/multi-qa-MiniLM-L6-cos-v1', {dtype: 'fp32'});
 
 async function embed(input) {
   const output = await extractor(input, {pooling: 'mean', normalize: true});