Enter your document corpus, query volume, and current solution. Get build cost, monthly ops, break-even point, and a 36-month cost comparison — based on verified 2026 infrastructure pricing.
Step 1 Your Document Corpus
10,000
Count all documents that will be searchable — contracts, policies, reports, emails, knowledge base articles.
Longer documents require more chunks and more storage.
Frequent updates mean recurring embedding and re-indexing costs.
Step 2 Query Volume
500
Include all users — employees, customers, agents. 500/day = ~20 concurrent users in a business day.
Complexity affects context window size and LLM inference cost per query.
Step 3 Embedding Model
Step 4 Vector Database
Step 5 LLM for Generation
$
Include all tools — SharePoint search licenses, vendor RAG platforms, manual research labor cost.
Your RAG cost projection is ready.
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One-Time Build Cost
—
Architecture + development
Monthly Operating Cost
—
Infra + embeddings + LLM
Break-Even vs Current
—
Months until positive ROI
Architecture Recommendation
—
One-Time Build Cost Breakdown
Data cleaning & preprocessing30–50% of project cost — formatting, deduplication, quality checks—
Metadata filtering & schema designFilter by date, department, document type ($1K–$2.5K)—
Prompt engineering & iteration15–30 hours of expert time at $120/hr—
Testing, evaluation & quality assurance—
Total Build Investment—
Monthly Operating Cost Breakdown
Vector database——
Query embedding (monthly queries × tokens)——
LLM inference (generation per query)——
Re-indexing (corpus updates)Recurring embedding cost for new/changed documents—
Monitoring & observability—
Total Monthly Operating Cost—
36-Month Cumulative Cost Comparison
RAG pipeline (includes build cost)
Current approach
Methodology: Embedding costs: OpenAI API pricing April 2026 ($0.02/M tokens small, $0.13/M tokens large). Voyage AI: $0.06/M tokens (Dec 2025 benchmark data). Vector DB: Pinecone April 2026 published pricing (Standard $50/month min, Enterprise $500/month min, storage $0.33/GB). Weaviate Flex $50/month min. Qdrant cloud $25–$70/month. LLM inference: Claude and OpenAI API pricing April 2026. Build cost ranges from Stratagem Systems 2026 RAG cost analysis and Appinventiv 2026 RAG development cost guide. Chunking, hybrid search, metadata costs from published implementation benchmarks. Results are estimates — actual costs vary by data quality, query patterns, and team efficiency.
60% of enterprise RAG pilots fail silently.
A RERIGHT RAG assessment identifies your architecture gaps before you build the wrong system. $2,000. 5 business days. Specific to your document types and query patterns.