VectorSurfer Overview

What is VectorSurfer?

VectorSurfer is a real-time AI observability dashboard. It connects to your VectorWave data and provides visual tools for monitoring, tracing, and healing AI function calls.

Your App + @vectorize → Weaviate ← VectorSurfer Dashboard

VectorWave captures function executions, and VectorSurfer turns that data into actionable insights — all in one unified interface.

Key Features

Real-Time Dashboard

A responsive widget grid dashboard that shows all key metrics at a glance:

• KPI Cards — Total calls, success rate, errors, cache hit rate, average duration
• Execution Timeline — Function executions over time with success/error/cache breakdown
• Token Usage — LLM token consumption by category
• System Status — Weaviate connection status and registered function count

Trace Waterfall

Visualize distributed traces as interactive waterfall diagrams:

• See the full call chain of decorated functions
• Identify bottlenecks and slow spans instantly
• Click into any span for detailed execution data
• Color-coded by status (success, error, cached)

AI Healer

GPT-4 powered error diagnosis with a visual interface:

• Browse recent errors with full context
• One-click root cause analysis
• View generated code fixes with diff highlighting
• Create GitHub PRs directly from the dashboard
• Batch healing for multiple errors at once

Replay Testing

Visual regression testing for AI functions:

• Select functions and Golden Dataset entries
• Run replays with real-time progress
• Compare expected vs actual outputs side-by-side
• Supports both exact match and semantic comparison

Ask AI

RAG-powered natural language Q&A over your VectorWave data:

• Ask questions about your functions, errors, and execution patterns
• AI retrieves relevant context from Weaviate and generates answers
• Responses are automatically saved to AI History

AI History (Saved Responses)

Browse and manage all AI-generated responses:

• Filter by source (Ask AI / Healer), bookmark status, or keyword
• Bookmark important responses for quick access
• Free plan: 5 AI calls/day, responses locked after 24 hours
• Pro plan: unlimited calls and full history access

Semantic Search

Natural language search across all your AI function data:

• Search functions, execution logs, and errors
• Hybrid search (vector similarity + keyword filtering)
• RAG-powered Q&A for exploring your codebase

Multi-Language UI

English, Japanese, and Korean UI out of the box — built for global teams.

How It Works

VectorSurfer reads from the same Weaviate instance that VectorWave writes to. There is no extra instrumentation needed — just use @vectorize in your Python code, and VectorSurfer shows everything.

VectorWave is not required to use VectorSurfer, but the SDK is what generates the data the dashboard displays.

Alternatives

Next Steps

• Getting Started — Connect to VectorSurfer
• Usage Guide — Detailed feature walkthrough
• VectorWave Overview — The core SDK