AI

Software Developer to AI Engineer Workbench RAG Architecture

1. Visual RAG Pipeline DAG

DAG Active | Tap node to inspect
Query Latency: 142 ms
Est. TTFT: 280 ms
Active Path: Vector -> Prompt
Guardrail Status: PASS (Score > Min)

2. Vector Search Sandbox

Client-side Cosine Match
0.65
0.10 (Permissive) 0.65 (Default Fallback Boundary) 0.95 (Strict)
Retrieved Documentation Chunks 4 / 4 chunks analyzed

3. Token Budget & Cost Estimator

Prompt Tokens 342
Completion Tokens 128
Est. Cost / 1k Calls $0.070
Token Distribution 470 Total Tokens

4. Guardrail & Fallback Engine

Reliability Rules
System Status: Optimal Vector Path PASS

Highest cosine match score (0.88) exceeds threshold (0.65). Context injected into prompt safely.

5. Production Blueprint Code Exporter

// Loading blueprint code...

Software Developer to AI Engineer Architecture Workbench Explainer

Read the explanation

The workbench evaluates retrieval augmented generation by comparing developer queries against indexed documentation chunks using cosine similarity. When a user increases the minimum similarity threshold slider, the cutoff line moves rightward, disqualifying chunks that fall below the boundary. Because zero chunks reach the threshold, the guardrail triggers deterministic BM25 fallback, routing context to keep completions grounded and predictable.

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