Skip to content

Interactive Tool: AI

Enterprise RAG Pipeline Feasibility & Accuracy Diagnostic

Determine the exact RAG architecture your data requires: evaluate document formats, chunking complexity, vector indexing, and reranker requirements.

Request an engineering audit
View related service

AI Architecture Tool

Enterprise RAG Pipeline Feasibility & Stack Recommender

Input your document complexity and accuracy requirements to receive a battle-tested vector database, chunking, and reranker architecture.

(Approx 225,000 pages)
Recommended Architecture
$450/mo
Estimated Cloud Infrastructure Cost · < 0.5% Hallucination Risk
Document Parser:

LlamaIndex Layout-Aware Parser

Vector Database:

Qdrant Clustered (HNSW + Quantization)

Reranker & Evaluation:

ColBERTv2 + DeepEval Grounding Verification

Chunking Strategy:

Hierarchical Node & Table Markdown Chunking

Build Production RAG Pipeline

Production deployment with verified citations & sub-second response times.

Methodology

How this benchmark is calculated

Our diagnostic models are calibrated against audited production telemetry from over 40 high-scale cloud, AI, and SaaS engineering engagements. Rather than relying on generic vendor marketing assumptions, our calculators reflect real-world spot availability, memory fragmentation, token overhead, and DORA velocity baselines.

Frequently asked questions

When documents contain complex multi-column tables, scanned diagrams, or cross-referenced appendices, hierarchical parsing and cross-encoder rerankers are required.

We run in-depth architectural and cloud spend reviews

Schedule a strategy session with our senior engineers to analyze your systems and receive actionable recommendations.

Book a strategy call