Oiya vs RAG

Retrieval-augmented generation gives a single agent better recall on a corpus. It does not enforce consistency across agents, and it does not capture decisions, processes or governance. Oiya is the structured, cross-agent layer that sits above retrieval.

In short: RAG (retrieval-augmented generation) retrieves relevant text chunks at query time. Oiya maintains a structured, evolving knowledge layer that captures terminology, relationships, processes and governance, context that chunk retrieval alone cannot enforce consistently across multiple agents.

Frequently asked questions

What is the difference between Oiya and RAG?

RAG retrieves text chunks at query time from a vector store. Oiya maintains a structured, evolving knowledge layer that captures relationships, governance, and business context, ensuring consistency across multiple agents, not just relevance for a single query.

Can Oiya replace RAG?

Oiya is not a direct replacement for RAG. It sits above retrieval, providing the structured knowledge layer that gives retrieval systems better, more consistent context to work with. Many teams use both.

See also: vs RAG · vs Knowledge Graphs · vs Zep / Graphiti · vs Knowledge Bases · vs OpenAI Memory. Product overview · About Oiya.