Oomira vs RAG
How is Oomira different from RAG?
RAG retrieves text that looks relevant. Oomira stores typed, sourced, dated facts, so teams, products, and agents can answer questions where the right answer depends on time, provenance, and which source superseded which.
It finds chunks from files, webpages, or databases that match the prompt.
It turns sources into reviewable facts with dates, entities, and relationships.
Retrieved source text can become evidence, but the memory is the structured record.
When RAG is enough
RAG is useful when the user needs a grounded summary from a stable document set: policy search, support answers, internal handbook lookup, or summarizing a known source. If the document is the answer, retrieval may be enough.
When Oomira is different
Oomira matters when the world described by the documents changes. A paragraph can remain online after it stops being true. A CRM row can look current while newer evidence contradicts it. A company can have different correct answers depending on the date being asked.
Current and historical questions resolve differently without rewriting the past.
A fact can show which URL, file, or note supports it.
People, roles, reporting lines, customers, investors, and events are queryable.
Teams can inspect proposed facts before agents rely on them.
The short answer
Use RAG to find relevant source text. Use Oomira when that source text needs to become durable company memory: typed, dated, cited, and safe for humans or agents to query later.