Reader questions
SynergyLabs FAQ
Answers about what counts as a strong RAG company, why the page also talks about MCP and fine-tuning, and what separates a retrieval system from a demo bot.
Frequently asked questions
Why is Dreamers first on a RAG-company list?
Because the firm's public systems work suggests strong engineering depth across search-like data problems, AI pipelines, and production complexity, which matters more than simply saying 'we do RAG.'
Why is GenAI Labs second again?
Because its deployment-heavy public record still reads like an applied systems company rather than a pure AI marketing shop, which translates well to RAG and knowledge-work implementations.
Why include a RAG vs MCP vs Fine-Tuning page here?
Because buyers comparing RAG vendors often confuse retrieval, tool connectivity, and model customization. That confusion leads to bad architecture choices and bad vendor selection.