RAG, knowledge base & internal AI‑assistants (rag llm)

Nakaryu RAG is a managed RAG‑LLM‑subscription: Every month we deliver a concrete module that improves your AI knowledge base – from micro‑use‑cases to complex internal AI assistants.

Depending on the package, you receive a micro‑, simple, medium, or complex RAG‑module per month – including coordination, implementation, testing, handover, and ongoing support within the package scope.

Typical sources are internal docs/wikis, files, ticket systems, CRM notes, product documents, SOPs, or onboarding materials – always tailored to your permissions, terms, and responsibilities.

Yes. We can take over, clean up, and improve existing knowledge bots or RAG‑setups – or set them up completely new. The goal is always: transparent, stable, and helpful in everyday use.

Yes. Every solution is built individually based on your content, sources, and rules – we do not deliver one-size-fits-all bots. Depending on the package, rights/area logic, quality checks, or API integrations are possible within the defined scope.

Yes. We implement RAG so that it works reliably in everyday use – including tests, source referencing, handover, and (depending on the package) logging or quality controls.

Yes, when sensible. We use AI pragmatically: e.g., for summaries, categorization, text drafts, or prioritization. Not a gimmick, but functions with benefits, clear rules, and clean integration.

Yes. You receive a clear handover and, if desired, a short documentation so your team knows which sources are used, how answers are generated, and how the system is structured.

Tool and license costs are not automatically included (e.g., LLM API, vector database, hosting, documentation tools). We advise you on which components are necessary and keep the setup as lean as possible.

Yes. Ongoing support is included in the subscription: We adjust sources, rules, and answers when content changes and fix issues within the package scope.

Yes. We can connect systems like wiki/drive, ticketing, CRM, newsletter tools, calendars, or databases. If the effort is greater, we recommend the appropriate package or a preliminary roadmap.

RAG is a monthly subscription with clear packages. You have predictable costs and receive a module every month that fits your package scope.

There are no hidden costs in the subscription. External tool/license/API costs only apply if they are necessary for your use case – which we agree on transparently with you in advance.

Yes. You can switch, upgrade, or add additional use cases in the appropriate scope monthly.

If you cancel, your external tool accounts naturally remain with you. Whether and how we hand over setups/accounts depends on the system used. We document your RAG‑setup so that you can continue it internally or with another partner. Not included are 24/7 emergency support, legal review, or comprehensive system changes.

Basically yes – within the booked package. If you want to tackle multiple knowledge areas in parallel, you can add additional modules in the appropriate scope at any time. We coordinate priorities transparently with you.

For some components, we use existing licenses or standard setups. If additional licenses, data source connectors, or API accounts are necessary for your use case, these costs are passed on 1:1 – always after prior approval.

Usually a lean setup is sufficient. If very many documents, queries, or users are added, an upgrade for tools/hosting can be sensible. We show you transparently when it is necessary and what options are available.

RAG focuses on knowledge access and internal assistance. If you want, we also connect the assistant with forms, CRM notes, support tickets, or reporting – so that questions are processed cleanly and information becomes reusable.

Yes. We can connect data and processes with your channels (e.g., website forms, email, calendar, chat, ticketing) and ensure that questions are automatically routed to the right systems.

Yes. For example, we can generate drafts from bullet points, pre-structure content, or create summaries from forms – always as part of a meaningful workflow, not as a „AI does everything automatically“ promise.

RAG is not an advertising service but can provide operational support: e.g., knowledge modules for sales, response templates, internal enablement FAQs, or analyses of top questions. This makes communication more consistent and faster.

Yes. You have subscription support: We assist with questions, maintain sources/rules, and resolve issues within the package scope – with clear, straightforward communication.

Then we analyze the cause, correct retrieval/sources or answer logic, and stabilize the setup. In case of external disruptions (e.g., API outages), we help with assessment and build more robust fallbacks if appropriate.

Yes – depending on the system, we implement sensible versioning, backups, and recovery methods. Important: data backups and retention also depend on your tools.

Yes. You can submit changes or new ideas at any time. We prioritize together and implement the next RAG‑module in the next monthly cycle.