const BASE_URL = 'https://mcp-memory.loqwai.workers.dev'
async function testVectorWithDelay() {
console.log('🔍 Testing Vector Search with Delay\n')
const namespace = `test-${Date.now()}`
const texts = [
'The quick brown fox jumps over the lazy dog',
'Machine learning is transforming how we process information',
'Cloudflare Workers provide edge computing capabilities'
]
// Store multiple vectors
console.log('1. Storing multiple test vectors...')
for (let i = 0; i < texts.length; i++) {
const response = await fetch(`${BASE_URL}/api/debug-vector`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
text: texts[i],
namespace
})
})
const data = await response.json()
console.log(` Stored vector ${i+1}: ${data.success ? '✅' : '❌'} (${data.vectorId})`)
}
// Test immediate search
console.log('\n2. Testing immediate search...')
const immediateSearch = await fetch(`${BASE_URL}/api/debug-vector`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
text: 'fox jumps',
namespace
})
})
const immediateData = await immediateSearch.json()
console.log(` Immediate search found: ${immediateData.searchResults.count} matches`)
// Wait and search again
console.log('\n3. Waiting 5 seconds for indexing...')
await new Promise(resolve => setTimeout(resolve, 5000))
console.log('\n4. Testing delayed search...')
const delayedSearch = await fetch(`${BASE_URL}/api/debug-vector`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
text: 'machine learning information',
namespace
})
})
const delayedData = await delayedSearch.json()
console.log(` Delayed search found: ${delayedData.searchResults.count} matches`)
if (delayedData.searchResults.matches?.length > 0) {
console.log('\n Top matches:')
delayedData.searchResults.matches.slice(0, 3).forEach(m => {
console.log(` - Score ${m.score.toFixed(4)}: ${m.content}`)
})
}
// Test similarity threshold
console.log('\n5. Testing with exact match...')
const exactSearch = await fetch(`${BASE_URL}/api/debug-vector`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
text: texts[1], // Exact match
namespace
})
})
const exactData = await exactSearch.json()
console.log(` Exact match search found: ${exactData.searchResults.count} matches`)
if (exactData.searchResults.matches?.length > 0) {
console.log(` Best score: ${exactData.searchResults.matches[0].score}`)
}
}
testVectorWithDelay().catch(console.error)
