An alternative to a generic chatbot
A retrieval-augmented assistant that answers from your own documents in Azerbaijani, by voice or text, every answer cited to its source.
A smarter alternative to generic chatbots
Most off-the-shelf chatbots generate answers from broad pre-trained knowledge that has no connection to your organisation's actual content. When a user asks a question, the model draws on whatever it absorbed during training — which may be outdated, irrelevant, or simply wrong for your context — and there is no mechanism to verify where any claim came from. The result is confident-sounding answers that cannot be traced back to a real source, creating risk for every team that relies on accurate information to do their work.
Why teams choose Allmaz over a generic chatbot
Every answer is grounded exclusively in your own documents, not in general internet knowledge or pre-trained assumptions that may be irrelevant to your organisation.
Hallucinations are structurally prevented: the assistant will not compose a response unless a relevant passage exists in your content, eliminating the risk of confidently wrong answers.
Full source transparency is built into every interaction — users see exactly which document each answer came from and can verify any claim in seconds.
Azerbaijani is the primary language the product is designed for, with Russian and English also supported out of the box, so no language is treated as secondary or experimental.
Voice and text input and output are unified in a single assistant, allowing users to engage in whichever mode suits their situation without switching between separate tools.
Self-hosted deployment means your documents, queries, and conversation data remain on your own infrastructure and are never transmitted to external servers unless you explicitly choose otherwise.
What sets Allmaz apart
Retrieval-Augmented Generation
Instead of relying on a model's general training data, Allmaz retrieves passages directly from your uploaded documents before composing any answer, keeping responses accurate and relevant to your specific context.
Source-Cited Answers
Every response surfaces the exact source documents it drew from. Users can verify claims instantly, and trust is built into the interface rather than assumed.
Hallucination Prevention
If no relevant content exists in your document base, the assistant says so rather than inventing an answer. Silence is safer than a confident mistake.
Azerbaijani-First Multilingual Support
Designed from the ground up for Azerbaijani, with Russian and English also supported. Generic chatbots often treat Azerbaijani as an afterthought; Allmaz treats it as the default.
Voice and Text in One Assistant
Users can ask questions by speaking or typing and receive answers in the same way. No separate voice product or integration is required.
Self-Hosted Infrastructure
Allmaz runs on your own servers or private cloud. Your documents, queries, and responses never leave your environment unless you choose otherwise.
How Allmaz works
Frequently asked questions
How is Allmaz different from a standard AI chatbot?
Standard chatbots generate answers from broad pre-trained knowledge and cannot point to a specific source document. Allmaz only answers from documents you have provided, and every answer includes a citation to its exact source, so users always know where information came from and can verify it directly.
What happens if the answer is not in my documents?
The assistant will tell the user that no relevant source was found rather than fabricating a response. This is a deliberate design choice. An honest acknowledgement of a gap is far less harmful than a plausible-sounding answer that cannot be verified or trusted.
Does Allmaz support Azerbaijani properly, or is it an add-on language?
Azerbaijani is the primary language Allmaz is designed for, not a secondary or experimental addition. Russian and English are also fully supported, but the product was built with Azerbaijani as the default rather than retrofitting support for it after the fact.
Can users interact by voice as well as by text?
Yes. Voice and text input and output are both built natively into the assistant. Users can ask questions by speaking or typing and receive answers in either mode, with no separate integration or additional product required.
Where does my data go when I use Allmaz?
Allmaz runs on your own self-hosted infrastructure. Your documents, user queries, and conversation data remain entirely within your environment and are not transmitted to external servers. You retain full control over your data at every stage.
Ready for an assistant that actually knows your documents?
See how Allmaz can replace a generic chatbot with a source-grounded, Azerbaijani-first assistant running on your own infrastructure. Get in touch with the Allmaz team to start a conversation.
Request a demo