Built for AI engineers who refuse to fly blind. Visualize every vector retrieval, trace prompt injection paths, and optimize your LLM's recall quality — from embedding to output.
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Watch how queries traverse multi-dimensional embedding space in real time. Hover to interact with the point cloud.
From chunk ingestion to final LLM output — trace, debug, and optimize every step of your RAG pipeline.
Visualize the complete journey from user query to retrieved chunks. See which vector indices were hit, similarity scores at each hop, and why certain documents were selected or filtered out.
Core FeatureCompare embedding vectors side by side. Spot drift, identify clustering patterns, and pinpoint why semantically similar content gets different scores.
See exactly how retrieved context gets woven into your prompt template. Identify token overflow, context truncation, and ordering issues.
Track retrieval latency, embedding throughput, and cache hit rates. Set alerts for quality regression across your pipeline stages.
Run A/B tests across different vector databases, embedding models, and chunking strategies. Compare retrieval quality with visual diff reports and statistical significance metrics.
Pro FeatureVisualize token distribution within your context window. Understand what your LLM actually "sees" before generating a response.
First-class .NET backend integration and embeddable Vue.js debugging components that fit seamlessly into your existing workflow.
Drop-in middleware for ASP.NET Core. Captures embedding calls, vector DB queries, and prompt assembly with zero config.
builder.Services
.AddRAGTrace(options =>
{
options.ApiKey = "rt_live_...";
options.CaptureEmbeddings = true;
options.TracePipeline = true;
});
// Traces appear in your RAGTrace dashboard
app.UseRAGTrace();Embed a live debugging panel directly into your development environment. Inspect retrieval results, similarity scores, and context assembly in real time.
<template>
<RAGTracePanel
:session-id="currentSession"
:show-vectors="true"
:theme="'dark'"
/>
</template>
<script setup>
import { RAGTracePanel } from '@ragtrace/vue'
</script>We're onboarding teams in waves. Join the queue and be among the first to debug your RAG pipeline like never before.
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