OpenVikingv1.0.3

Organizations can use OpenViking as a central knowledge base to query internal documents like reports, policies, and manuals. Employees ask questions in natural language and receive precise answers with citations, improving productivity and decision-making.

AI agents can store conversation history, learned facts, and user preferences as vector memory in OpenViking. This enables persistent, context-aware interactions across sessions without retraining.

Researchers can add papers, articles, and URLs to OpenViking's knowledge base, then perform semantic searches to find relevant information quickly. The RAG pipeline can also generate summaries of retrieved content.

Law firms can index contracts, case law, and statutes in OpenViking for fast semantic retrieval. Lawyers can ask specific legal questions and get relevant precedents verbatim.

Support teams can load product manuals, FAQs, and troubleshooting guides into OpenViking, then surface answers to customer queries via a chat interface. This reduces response time and improves consistency.

Offer OpenViking as a hosted service with tiered pricing based on storage size, number of queries, and users. Include premium support and custom model integration.

License OpenViking for on-premise deployment with additional features like SSO, audit logs, and dedicated support. Ideal for enterprises with strict data residency requirements.

Provide consulting services to help clients integrate OpenViking with existing systems, build custom skills, and optimize RAG pipelines. Charge per project or hourly.