QIA uses semantic retrieval and structured knowledge to generate contextual and reliable responses.
QIA uses a centralized knowledge base to generate contextual responses.
Information is retrieved by meaning, not only by keyword matching.
Editors can review how AI responses connect to knowledge sources.
QIA can generate draft knowledge entries from detected content gaps.
Questions can be normalized and processed across multiple languages.
The knowledge layer evolves over time through real interactions.
AI answers are grounded in structured knowledge and contextual retrieval.