Logvine
Logvine
Vector-Native Runtime Intelligence

Turn your logs into runtime memory.

Semantic, vector-native logging for LLM-ready teams. Capture every event, vectorize what matters, and query with natural language. No instrumentation. Pinecone-native.

🧠 Semantic Runtime Intelligence

Ask questions about your runtime data. Get instant insights for debugging, analytics, and product decisions.

💳

Understand Payments at Runtime

Question:

"What's the most used payment method this month?"

Logvine Response:

  • • 61% used Apple Pay
  • • 27% used corporate credit cards
  • • 12% used PayPal (mostly outside the US)

→ Instant insight into revenue flow.

🧪

Spot Feature Adoption

Question:

"Which new features are users adopting fastest?"

Logvine Response:

  • • 74% enabled dark mode
  • • 52% used AI auto-tagging
  • • 31% used Slack auto-sync

→ Track adoption without manual tagging.

🛒

Optimize Checkout Funnels

Question:

"Where do users drop off in checkout?"

Logvine Response:

  • • 54% abandon at discount entry
  • • 23% leave on address confirmation
  • • 8% fail after clicking 'Pay Now'

→ Log-based funnel clarity.

🧠

Know What Premium Users Love

Question:

"What do top-paying users use most?"

Logvine Response:

  • • 91% use bulk CSV export
  • • 77% rely on API tokens
  • • 64% use mobile dashboards

→ Understand behavior of your best customers.

How It Works

Four simple steps to turn your logs into semantic, queryable runtime intelligence.

1
📦

Install the SDK

Drop in Logvine's SDK and connect your project.

bash
npm install logvine
2
📝

Log Events Automatically

Logvine hooks into your existing log.info, log.warn, etc.

typescript
log.info("user.login", { 
  userId: "abc123", 
  plan: "free" 
});
3
🧠

Vectorize What Matters

Add vectorization rules by level, event, or regex. Logs with vectorize: true are embedded and stored in Pinecone.

typescript
initLogvine({ 
  defaultVectorize: false, 
  vectorizeRules: [{ level: 'error' }] 
});
4
🔍

Query in Natural Language

Ask anything like: 'What led to the onboarding failures yesterday?' → Get insights, not just logs.

typescript
// Ask in plain English
"What led to the onboarding failures yesterday?"

// Get structured insights
→ 67% failed at payment validation
→ 23% encountered API rate limits  
→ 10% had browser compatibility issues

Built for Developers, Loved by Infrastructure Teams

Drop it in and get insights instantly. Logvine captures runtime behavior without bloating your stack.

✓

Works with Node.js, Next.js, Express, Fastify

✓

Auto-hooks into log.info, console.warn, etc.

✓

Configure vectorization via simple rules

✓

Async batching, retries, and tenant-aware log scoping

✓

Bring your own vector DB (Pinecone or hosted by us)

Simple Configuration

typescript
initLogvine({
  defaultVectorize: false,
  redactKeys: ["token", "email"],
  vectorizeRules: [{ level: "error" }]
});

What Teams Are Saying

💬
"Logvine is like having an AI memory layer for your backend logs."
— Future You
💬
"We caught 3 revenue-blocking bugs in under an hour."
— Probably your next user
💬
"I debugged a semantic error with one query. Unreal."
— Beta Developer

Join the Early Access Beta

Logvine is onboarding early teams weekly. Be among the first to ship runtime intelligence.

50+ teams already signed up