System Overview

Real-time status of your GlassBox RAG pipeline

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Total Requests
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Avg Latency
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Tokens Used
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$0.00
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Components

Recent Activity

Pipeline Visualization

Interactive view of your RAG pipeline execution flow

Step Details

Click on a pipeline step to view details

Execution Timeline

Run a query to see execution timeline

Trace Debugger

Debug and analyze pipeline execution traces

Recent Traces

Trace Details

Select a trace to visualize execution flow

Telemetry Dashboard

Detailed metrics and performance monitoring

Latency Distribution

Token Usage Over Time

Cost Breakdown

Performance Metrics

Operation P50 P95 P99 Count

Plugin Development

Extend GlassBox RAG with custom plugins

Plugin Types

Encoders

Text embedding providers (OpenAI, Cohere, HuggingFace, etc.)

Vector Stores

Vector similarity search (Qdrant, Pinecone, Weaviate, etc.)

Databases

Document storage (PostgreSQL, MongoDB, etc.)

Multimodal

Content processors (PDF, Image, PPTX extractors)

Development Guide

1. Choose Plugin Type

Select the component you want to extend based on your use case.

2. Implement the ABC

Inherit from the appropriate base class and implement required methods.

3. Register Your Plugin

Add your plugin to the configuration and restart the engine.

4. Test Integration

Use the debugger to verify your plugin works correctly.

Supabase Integration

GlassBox RAG works with Supabase!

Configure your PostgreSQL connection string to point to your Supabase database:

database:
  postgresql:
    host: your-project.supabase.co
    port: 5432
    database: postgres
    user: postgres
    password: your-password

Supabase provides PostgreSQL with real-time subscriptions, authentication, and edge functions that complement GlassBox's capabilities.