Knowledge Base QA Agent
Turn your documents into a private QA assistant — accurate answers grounded in your own data.
GET THE AGENT View DocumentationSelf-hosted RAG agent — fast, reliable, and cited answers from your knowledge base.
Turn your documents into a private QA assistant — accurate answers grounded in your own data.
GET THE AGENT View DocumentationSelf-hosted RAG agent — fast, reliable, and cited answers from your knowledge base.
Most teams rely on documents that are scattered across folders, notes, and archives. The Knowledge Base QA Agent surfaces the right passages, removes the noise, and turns raw documentation into clear, reliable answers your team can use immediately — all grounded in your own data.
Instead of searching manually, scrolling through files, or asking around, you get a single, consistent answer every time. Complex topics become easy to revisit, decisions stay traceable, and everyone works with the same source of truth — without changing the way you store your documentation.
The Knowledge Base QA Agent turns archived information into something living.
Instead of digging through folders or browsing files one by one, teams ask a question and get a concise answer pulled directly from the right documents — no detours, no uncertainty.
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The agent identifies the parts of your documentation that speak directly to the question, even if they’re buried deep or split across multiple files.
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It reformulates complex notes, specs, or decisions into short answers that anyone on the team can understand, without losing the meaning or context.
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Everything happens locally: indexing, retrieval, answer generation.
Your internal documents stay private, and every reply is grounded in the sources you control.
Internal knowledge is only useful if people can actually access it when they need it. But in most companies, important information ends up buried in long documents, lost in shared folders, or forgotten in old notes. Even when the answer exists, finding it takes too long — so decisions get delayed or rely on memory instead of facts.
The Knowledge Base QA Agent changes how teams interact with their own information. Instead of scrolling, searching, or guessing, anyone can ask a question and get a concise, grounded answer pulled directly from your documents. No shortcuts, no speculation — just the relevant parts, rewritten in a clear and helpful way.
The result is a knowledge base that finally behaves like a real assistant: easy to consult, consistent in its answers, and always available. Teams stay aligned, onboard faster, and spend less time hunting for information and more time using it.
It reads your documents once
You point the agent to your text files. It processes them in the background, splits them into meaningful sections, and builds a searchable representation of your knowledge — without changing the way you store anything.
It understands your question
Ask in natural language. The agent interprets what you mean, not just the keywords you use, and looks for the parts of your documentation that match the intent of your question
It pulls the right passages
Instead of returning a list of files to open, the agent extracts the exact fragments that contain the answer. No noise, no irrelevant context — just the useful parts.
It turns them into a clear answer
Those fragments are then rewritten into a short, easy-to-read reply. The agent keeps the meaning intact, removes the clutter, and cites the sources so you know exactly where the information came from.
Quickly answer recurring questions without searching through folders.
From “How do we deploy X ?” to “Where is the latest spec ?”, the agent pulls the right passages so teams stop interrupting each other.
New hires get answers directly from your documentation, not tribal knowledge.
They ramp up faster by asking the agent instead of chasing links, old files, or colleagues who may not remember the full context.
When revisiting past work, the agent instantly surfaces what mattered most.
Specs, decisions, constraints — everything becomes easy to retrieve, so teams stay aligned and avoid repeating mistakes.
Use it your way — deploy the agent on your servers and turn your documentation into a private QA system.
€200
Best when you need a self-hosted RAG assistant that delivers accurate, cited answers from your internal documents.
Includes
Delivery
You receive the full source code, Docker setup, configuration templates, and quickstart scripts. Everything needed to run the agent privately on your infrastructure.
Yes — as long as the documents are available locally. The agent can index, search, and answer questions without calling any external API.
Absolutely. You can adjust retrieval depth, prompts, chunk size, or connect new document folders. Full ownership means full flexibility.
Only if you decide to use a cloud LLM. With Ollama or a local model, no keys are required.
The agent returns a clear message saying it doesn’t know, instead of guessing or hallucinating.
Most teams have the agent running in under ten minutes using the provided Docker stack.
Yes. All indexing, retrieval, and answer generation run on your servers. Your internal documents never leave your environment.