Deep Thinking Dongni Multimodal Large Model

Dongni delves into what AI is.

Dongni is an AI multimodal search engine developed by DeepThink, designed for use in tasks such as retrieval, research, and content organization.

It brings together AI search, knowledge bases, research writing, multimedia content, and an AI PC interface on a single platform.

Main functions

Three search modes

The deeper the pattern, the more waiting time is usually required, as well as a greater need to verify the referenced materials.

In-depth study of the process

The front-end process shows that complex tasks go through stages such as searching, analyzing, generating, and organizing.

1. Enter a well-defined, verifiable research question.
2. Select the in-depth research mode and specify the time range and subjects.
3. The system performs a search for issues and then analyzes different materials.
4. Wait for the answer to be generated and view the structured format.
5. Check whether the key conclusions are based on reliable original data.
6. Add any missing conditions and then pose more specific questions.

The results of research serve as a starting point for organizing data, and should not replace professional review or direct reading of the original text.

Knowledge base

The knowledge base entry is used for organizing information related to individuals or projects as well as for answering questions.

• Create separate knowledge bases for projects, courses, or topics.
• Remove duplicate files and irrelevant pages before uploading.
• When asking questions, specify that answers should be based solely on the available information, in order to minimize the inclusion of external data.
• Verify the numbers, times, and proper nouns in the answers against the original text.
• Sensitive files should have their sensitive data removed, and the platform’s data processing rules must be verified.

Papers and professional reports

The VIP channel provides access to tools for writing papers and professional reports, and it distinguishes between the search phase and the generation phase.

• For a thesis project, the first steps are to select a topic, conduct literature research, and establish an argumentative framework.
• A professional report should specify the audience, industry, region, and statistical period.
• Citations, data, and examples must be verified against the original sources.
• Do not let AI generate references, survey data, or expert opinions.
• Disclose the use of AI in accordance with the rules of the school, journal, or institution before submission.

AI podcasts, music, and expert assistants

• AI podcasts are suitable for converting thematic content into a format that is easy to listen to.
• Music Plaza provides interfaces for searching for and creating music-related content.
• Experts and assistants can handle specific vertical issues based on their respective roles.
• For advice on health, medical matters, and other high-risk issues, it is necessary to consult qualified professionals.
• Multimedia-generated content still requires verification of copyright, portrait rights, and publishing permissions.

AI PCs and local search

The platform displays the AI PC entry, with the labels “AI Multimodal·Local Search” and “AIPC·Suite” shown on the frontend.

• It is suitable for switching from a computer environment to local data search and AI workflows.
• The specific system requirements, download methods, and scope of local processing shall be as indicated on the page.
• \"Local search\" does not necessarily mean that all data is processed only on the device itself.
• Before installation, check the permissions, privacy, and update information.

Dongni usage tutorial

1. Open the platform, log in to your account, and go to the AI search homepage.
2. Choose between a concise, detailed, or in-depth analysis depending on the task.
3. Enter the question and specify the object, time, location, and output format.
4. When personal data is required, first organize the relevant documents in the knowledge base.
5. For tasks related to papers or reports, go to the corresponding channel and create the task there.
6. Review the search and analysis process, and check the key materials in the answers.
7. Cross-verify facts, figures, and conclusions.
8. Before saving the final result, remove sensitive information and make manual edits.

Supported platforms

Price and Payment Instructions

As of August 30, 2026, the public homepage does not display verifiable package names, periodic pricing, or fixed free quotas.

• The platform offers VIP channels and paid services, but the official prices have not yet been determined.
• The terms of service state that the free benefits may be adjusted as research progresses.
• The fee structure is as stated on the corresponding service page.
• Minors cannot top up accounts or use paid services.

Before making a purchase, it is necessary to check the actual rights and benefits, expiration date, refund conditions, and scope of commercial use, in accordance with the settlement page and the current agreement.

API, SDK, and open-source status

• API: The protocol refers to open platforms and API call services.
• Public access: No complete access documentation or key management console available for ordinary developers.
• SDK: No verifiable official SDK has been found.
• Open source: No product source code, model weights, or official open-source license were found.

The mention of APIs in the agreement does not mean that those interfaces are available to all users, nor does it indicate that the models or platform are open source.

Usage restrictions and precautions

• The search results may contain factual errors, outdated information, or misinterpretations of the sources.
• Conclusions in areas such as medicine, law, and investment cannot rely solely on AI outputs.
• Personal information and trade secrets should be processed before uploading to the knowledge base.
• The functions of papers and reports cannot replace genuine research and proper citation.
• The AI identifier in the output content must not be removed, altered, or hidden.

Frequently Asked Questions

What can Dongni mainly do?

It can carry out tasks such as AI-driven searching, in-depth research, knowledge base inquiries, and providing assistance with papers and professional reports.

What are the search modes available in Dongni?

The current page offers three modes: concise, detailed, and in-depth analysis.

Does Dongni support personal knowledge bases?

It supports a knowledge base entry, enabling organization of information and Q&A based on user profiles.

Does Dongni have a mobile app?

The official website shows QR code links to the mobile app and mini-programs, as well as Web and AI PC access points.

Is Dongni free?

The platform offers free features as well as VIP channels; however, the public page does not currently display a fixed free quota or the full prices.

Does Dongni provide a developer API?

The agreement mentions API call services, but no comprehensive public documentation for ordinary users is available.

Is Dongni an open-source large model?

As of the time of verification, no official product source code, model weights, or open-source licenses were found.