Retrieve
The most relevant parts of your organization's knowledge are found for each question.
Turn your organization's knowledge into precise, trustworthy answers.
Chatbot Designer is an enterprise RAG platform that turns scattered documents and knowledge into a searchable, conversational assistant. Import your files, organize them, and let people ask questions in natural language — answered from your organization's real information.
Grounded answer preview
RAGWhat is the refund process for enterprise customers?
Retrieved sources
refund-policy.pdfsupport-handbook.docxfinance-runbook.md
Enterprise refunds follow the 14-day policy in refund-policy.pdf: the account manager files the request and finance approves it within two business days.
From searching files to conversing with your organization's knowledge.
Important information usually lives scattered across PDFs, Word files, internal docs, and other sources. Chatbot Designer processes and indexes those sources so people simply ask their question and reach the most relevant information fast — instead of digging through hundreds of documents.
Answers grounded in your real data.
Chatbot Designer is not just a generic chatbot. Every answer is generated from the content in your knowledge base, so the model retrieves the relevant information before it responds.
Understand
The model analyzes the question and the retrieved information together.
Respond
A precise, relevant answer is produced, grounded in real sources.
One central knowledge base for all of your organization's information.
Manage your documents and sources in a single place. Chatbot Designer handles ingestion, processing, chunking, and indexing so your content is ready for intelligent search and for language models.
Document management
Keep your organization's files in one structured knowledge base.
Automatic processing
Uploaded documents are automatically prepared for the RAG pipeline.
Intelligent search
Semantic and keyword retrieval combine to find the most relevant information for every question.
Knowledge-grounded chat
People can converse directly with the organization's knowledge.
Designed for Persian knowledge.
Chatbot Designer is built with Persian content in mind. Persian text processing and normalization are part of the document pipeline, so search and retrieval work with higher quality on Persian documents.
Control access to the organization's knowledge.
Not every user should see every piece of information. Chatbot Designer provides workspace isolation, member management, and access levels so each user only reaches what they are allowed to.
Workspace Isolation
Each workspace's information is logically separated from the others.
Role-Based Access
User access levels are managed by role.
Secure Document Storage
Original files are kept in private storage.
Auditable Architecture
Important system operations can be recorded and traced.
Built for large volumes of knowledge.
As documents grow, traditional search quickly becomes ineffective. The architecture is designed for asynchronous document processing, vector indexing, and fast retrieval, so it stays scalable as your knowledge base grows.
From document to answer, in one flow.
Upload
Add your documents and knowledge sources.
Process
Content is extracted, normalized, and split into suitable chunks.
Index
Information is indexed for semantic and keyword search.
Retrieve
For every question, the most relevant pieces of knowledge are found.
Answer
The model generates the answer from that same information.
A fit for many enterprise scenarios.
Internal knowledge assistant
Employees get their answers from company documentation without searching hundreds of files.
Technical documentation search
Engineering teams search intelligently across docs, architectures, runbooks, and guides.
Support knowledge base
Support teams find the right answer faster from internal docs and guides.
Policy and process assistant
People can ask about internal guidelines, processes, and documentation.
Document set analysis
Turn a large volume of documents into an environment you can query and search.
Why Chatbot Designer?
Grounded Answers
Answers are generated from your real knowledge.
Enterprise Architecture
The system architecture is designed for security, access control, and extensibility.
Persian Ready
Persian content processing is part of the platform's core architecture.
Scalable Retrieval
Information retrieval is designed for large knowledge bases.
Private Knowledge
Your organization's knowledge is managed as a private resource.
Model Independent Architecture
The RAG layer is kept separate from the model layer, so the system is not tied to a single provider.
Make your organization's knowledge conversational.
General language models know a lot, but they don't know your organization's private knowledge. Chatbot Designer closes that gap: connect your knowledge to the platform and turn it into a system you can search, converse with, and use with AI.