ima

The AI Knowledge Steward launched by Tencent supports building personal and team knowledge bases, performing question answering and retrieval on imported materials, and generating PPTs, podcasts and research reports based on the materials, targeting scenarios of data organization and content creation.

AI Search Engine#Knowledge Base#Material Research#Tencent

Updated: 2026-10-26

What is ima?

IMA is an AI knowledge steward launched by Tencent, and its official website positions it as a knowledge base question-and-answer and data research tool. Users can deposit documents, webpages and other data into a knowledge base, and then ask questions and organize content based on these materials. The examples displayed on the page include generating PPTs, podcasts and reports, indicating that its output forms are not limited to conversational answers, but can produce ready-to-use finished manuscripts. This is of more practical value for positions that need to deliver results, and also reduces the trouble of repeatedly moving materials between different tools and saves the need to switch back and forth.

Who is it for?

Research and analysis positions: They need to collect a large amount of materials and output reports, hoping to reduce the time spent on manual organization and typesetting.
Content creators: Convert material libraries into various forms of content such as articles and podcasts to improve the reuse rate of existing materials.
Enterprise teams: Collate team documents and guidelines, enabling members to quickly obtain information through Q&A and reduce the need to repeatedly consult colleagues.
Students and Teachers: Organize course materials for review and consolidation, lesson preparation, and knowledge point induction.

Key features

Knowledge Base Q&A

The official statement indicates that it supports the establishment of a knowledge base and Q&A based on the materials within the library, ensuring that answers are based on evidence rather than solely relying on the model's general knowledge.

Document Retrieval and Organization

Provides the capabilities of collecting, retrieving and organizing materials for research scenarios, making it convenient to manage multiple materials from different sources in one entry.

Generate Presentation Slides

The official examples include the ability to generate PPTs based on materials, which is used to quickly convert organized content into presentation materials.

Generate Podcast Content

The official feature provides the ability to convert materials into podcast format, which is suitable for turning text content into audio for listening during commutes or spare time.

Generate Research Reports

The official examples include the ability to generate reports, which can summarize scattered materials into structured documents and reduce the time spent on manual collection and typesetting.

Multi-format Output

The same knowledge asset can be converted into various output formats, reducing the workload of repeated organization and transfer across multiple tools.

How to use ima

The quality of the knowledge base determines the quality of answers.
When importing materials, prioritize authoritative documents with clear versions and avoid mixing in expired content.
For internal materials, first confirm the storage and usage scope of the data.
it is not recommended to arbitrarily import sensitive materials into the cloud knowledge base.
After generating PPTs and reports, manual verification of data and conclusions is still required, especially for cited sources and figures, to avoid misattributions.
It is recommended to split the knowledge base by theme instead of mixing all content together, which will usually significantly improve the accuracy of retrieval and answers.
When selecting a data analysis tool, prioritize data source connectivity over AI capabilities: whether it can seamlessly integrate with your existing databases, data warehouses and event tracking systems determines whether it will be actually used or left unused.