The difference between a search and an answer
A search engine returns a list of results. An AI assistant answers — directly, in the context of the question, without forcing the user to read three pages to find what they were after.
With JAMflow Conversational AI, your assistant answers only on what you know. No made-up answers, no out-of-context data. Every answer is built from your content — catalog, documentation, knowledge base — and from that alone.
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It answers only on what you know
- It answers only on your contentThe assistant doesn't answer from the internet or the model's training. It answers only on what you've indexed — knowledge base, catalog, documentation.
- Every answer cites the sourceThe user can always verify where an answer comes from. Citations are included automatically with no extra configuration.
- If it doesn't know, it says soIf the answer isn't in your content, the assistant says so instead of inventing. This behavior is configurable to your use case.
Zero hallucinations on out-of-scope topics.
A generic AI model answers about everything it saw in training — including imprecise or invented things. JAMflow Conversational AI answers only on your indexed content. It doesn't invent, doesn't generalize, cites the source.
If the answer isn't in your content, it says so explicitly instead of answering anyway. This builds user trust: they know what they read is verifiable.
An assistant that acts, not just answers
- Searches, opens tickets, calls APIsIn natural language, the user can ask the assistant to perform real operations: find a product, open a request, check a value.
- Access governed by your rulesThe assistant only does what you've explicitly enabled, with the same permissions as the authenticated user. No implicit access to unauthorized data.
- Multi-step conversationsThe assistant remembers the conversation context and can execute sequences of operations in response to a complex request — without the user repeating context.
It doesn't just answer — it executes.
An assistant can help a user find the right product, open a support ticket, check an order's status, or update a value — all in natural language, without leaving the conversation.
Access to systems is controlled: the assistant only does what you've explicitly allowed, with the same authorization rules as the rest of the application.
To install in hours, not weeks
- Chat WidgetAn embeddable component that adds the assistant to any page. Configured in two lines, it adapts to the site's theme.
- Full Chat InterfaceA complete chat interface with history, file upload, and feedback. Ready to use, without building it from scratch.
- APIAn API endpoint for custom integrations on any stack. Useful when the widget isn't enough or when you want full control of the interface.
- JAMlabs ModuleFor JAMflow projects, the Nuxt module configures everything in one place — sources, model, behavior — co-located with the application code.
The component ready-made. Authentication already included.
The widget is added in two lines. The full chat interface handles history, upload, and feedback. The API allows custom integrations on any stack.
All integration methods are already connected with JAMflow Auth Service — protected areas stay protected, permissions are respected, without implementing anything new.
Three models, one stack
Speed
JAMai Flash
Optimized for low latency and high volume. Ideal for e-commerce, catalog assistants, and scenarios where response speed is a priority.
€0.04
per message
EU Privacy
JAMai EU
Runs entirely on European infrastructure. Data never leaves the EU. GDPR-compliant by design — ideal for enterprise and portals with data-residency requirements.
€0.15
per message
Reasoning
JAMai Pro
Configurable frontier models (Claude, GPT, Gemini) for advanced reasoning, complex tool use, and analysis of technical content. Also available with self-hosted models.
from €0.20
per message
The price includes retrieval, generation, and citations. No separate cost for indexing.
Same knowledge base, two ways to use it
- One indexingThere isn't one index for search and another for the assistant. You index once and use both services — updates included.
- Always in syncWhen content changes, both search and the assistant see it updated. No manual syncing, no risk of stale data.
- From search to conversationA user finds a product with search and asks the assistant follow-up questions — without switching systems, without losing context.
Index once, use twice.
A user can find a product with semantic search and then ask the assistant follow-up questions — same source of truth, same consistency in the answers.
There are no separate indexes to keep in sync. When content changes, both search and the assistant see it updated.
Where it makes sense to use it
- E-commerceThe assistant helps the user find the right product, answers on availability, specs, and return policies — without opening a ticket.
- Internal knowledge baseEmployees ask questions in natural language about procedures, policies, and documentation. The assistant answers instead of pointing to three different PDFs.
- B2B customer portalCustomers answer their own questions about orders, invoices, and contracts — without opening a ticket and without support answering the same question ten times.
- Technical documentationDevelopers ask questions about APIs, parameters, and edge-case behaviors — the assistant answers with concrete examples from the documentation.
- Help desk and first-line supportAn automated first line of support that resolves the most frequent requests. The ones it can't resolve automatically open a ticket.
- Intranet and HRAnswers on leave, reimbursements, onboarding, benefits — without HR answering the same email ten times. The data stays in the company infrastructure.