Cost guide · AI

How much does
RAG system
cost in 2026?

RAG system costs depend on corpus size, retrieval rigor, and evals.

Where Vedwix sits
Default RAG stack uses pgvector + Cohere Rerank + Claude.
Budget bands · 01

What you get at each tier.

Tier 01

Demo ($3k-10k)

$3,000-$10,000

What you get: A working RAG prototype with basic vector search.

Trade-offs: Hybrid search, reranking, evals.

Tier 02

Mid-market ($15k-50k)

$15,000-$50,000

What you get: Production RAG with hybrid search, reranker, basic evals, and observability.

Trade-offs: Custom embeddings, deep evals, regulated-industry work.

Tier 03

Senior studio ($50k-150k)

$50,000-$150,000

What you get: Production RAG with custom embeddings, deep evals, citation traceability, and post-launch support.

Trade-offs: Speed.

Tier 04

Enterprise ($150k-500k+)

$150,000-$500,000+

What you get: Full RAG with compliance, multi-tenant, ongoing partnership.

Trade-offs: Budget.

Hidden costs · 02

Don't forget the add-ons.

  • Embedding API fees
  • Vector database (pgvector or Pinecone)
  • Reranker (Cohere or open-source)
  • LLM API fees for generation
  • Eval cycle costs

What drives cost most

  • Corpus size
  • Retrieval complexity
  • Evals rigor
  • Citation requirements
  • Compliance
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Vedwix context · 03

Where we sit.

Default RAG stack uses pgvector + Cohere Rerank + Claude.

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