RAG Feasibility Assessment — Is Your Data Ready for RAG?

I will assess your data assets and deliver a written RAG feasibility report covering whether your content is suitable for Retrieval-Augmented Generation, your optimal chunking strategy, the best vector store for your use case, your embedding model options, and a recommended RAG architecture before you commit any development budget. RAG is frequently over-engineered for simple use cases and under-engineered for complex ones — a structured feasibility assessment prevents both mistakes by grounding the architecture decision in your specific data characteristics, query patterns, and quality requirements rather than a generic RAG template.

The report covers your data sources and formats, content volume and update frequency, chunking strategy recommendation, embedding model selection rationale, vector store recommendation, retrieval architecture design, and a phased implementation roadmap with effort estimates.