NIST AI RMF
ISO 42001 Aligned
Ethics Reviewed
Research Validated
Consulting Service
5 min readAI RAG Consulting
Consulting for RAG system design and implementation.
Consulting
RAG
Technical
Cassandra Research — AI Division
NIST AI RMF Compliant
ISO/IEC 42001 Aligned
IEEE Standards Referenced
Research methodology: Validated against peer-reviewed AI research, NIST frameworks, and industry benchmarks.
Last reviewed: 7 March 2026
Overview
RAG (Retrieval Augmented Generation) is the architecture of choice for professional AI systems that require accuracy and source citation. Our RAG consulting helps organisations design, build, and optimise RAG systems that deliver reliable, grounded AI outputs.
RAG Consulting Scope
- •Knowledge base design and curation strategy
- •Vector database selection and implementation
- •Embedding model selection and optimisation
- •Retrieval pipeline design and tuning
- •LLM integration and prompt architecture
- •Evaluation framework and accuracy testing
Frequently Asked Questions
Why choose RAG over fine-tuning?
RAG provides source-cited, up-to-date responses grounded in authoritative documents. Fine-tuning embeds knowledge without traceability. For professional services, RAG is almost always the better choice.
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