Local AI Knowledge Assistant
We deploy a local AI assistant that securely indexes your corporate documents, procedures and internal knowledge base, then answers employees with citations. All data stays on your own server and is never sent to a third-party cloud provider. The system uses a Retrieval-Augmented Generation (RAG) architecture: answers are grounded in your documents. This solution uses existing language models and does not train or fine-tune a model — instead it indexes your content. Deployment is Docker-based and runs on your own infrastructure.
Key Features
- Self-hosted, Docker-based deployment on your own server
- Your documents are indexed with RAG; no model is trained
- Answers generated with citations
- Role-based access and audit trail
- Turkish and English content support
- Your data never leaves your organization
Use Cases
Employees ask questions in natural language and receive answers with the source they came from.
Scattered PDF and text archives are indexed so relevant passages are found and summarized quickly.
Your support team reaches a trustworthy internal source to relay the right answer to customers.
Who is it for?
Internal teams, support and operations units that need fast access to a private knowledge base.