Operating memory
Indexes documents, contracts, policies, tickets, manuals, and communications.
Capability
Search documents, contracts, manuals, and internal knowledge with enterprise RAG connected to agents, workflows, and dashboards.

How it works
Indexes documents, contracts, policies, tickets, manuals, and communications.
Answers and recommendations with context, sources, and traceability.
RAG bases configured by area, vertical, client, permission, or process.

Frequently asked questions
Short answers to understand what Arvynta includes, how it adapts to each operation, and which deployment model may make the most sense for your company.
Document RAG combines information retrieval and answer generation. Before answering, the system searches context in authorized documents or sources to produce more useful and verifiable answers.
It can search contracts, manuals, policies, files, regulations, tickets, minutes, communications, supporting files, operating documentation, and internal knowledge bases.
The platform can be designed to show sources or references when the case requires it. This is especially useful in legal, document, support, compliance, or operating-knowledge processes.
Yes. Separation depends on the deployment model. Cloud uses logical tenant separation; Dedicated offers private company RAG; Enterprise can include advanced governance and multiple sources.
No. RAG does not replace transactional databases. It is for consulting document or semi-structured knowledge and connecting it with agents, workflows, and decisions.
Answer quality depends on source quality. That is why versions, permissions, document updates, and owners of each knowledge space must be governed.
Yes. Permissions can define which users, agents, or workflows access each source or document space, especially in Dedicated and Enterprise implementations.
RAG provides context for decisions or recommendations. Workflows turn those decisions into actions, and dashboards measure statuses, times, results, and signals derived from the operation.

Next step
We can review your current operation, identify an initial vertical or agent pack, and define a measurable deployment path.
Schedule a conversation