Tencent Cloud Agent Development Platform（TCADP）
Tencent Cloud Agent Development Platform (TCADP) deeply integrates core capabilities such as LLM + RAG enhanced retrieval, helping enterprises efficiently build Agent applications that are stable, secure, and compliant with business scenarios. It is the first to integrate the full-capacity version of DeepSeek and has been widely implemented in multiple industries.
Provide multiple application development methods. You can quickly create and release enterprise-level RAG applications based on models such as DeepSeek, assist enterprises in reducing the threshold for implementing Agent applications, and efficiently create valuable and effective Agent applications. You can quickly connect enterprise system APIs to the Agent, and the output of the Agent is more stable and controllable.
The platform is built-in with multiple leading technical capabilities such as OCR, LLM+RAG, and MLLM. It can accurately and intelligently parse complex documents, enhancing the quality and efficiency of knowledge extraction. Just import files/Q&A pairs, and the Agent can be integrated with the enterprise's multimodal knowledge to achieve stable and precise Q&A effects.
Configuration tools for open model configuration, knowledge configuration, QA extraction, and application evaluation, supporting a one-stop process of testing, correction, release, and feedback enhancement, helping enterprises reduce the threshold for building Agents.
The traditional NLP-based customer service has been upgraded based on large model. A specialized intelligent customer service solution in vertical fields is provided by Tencent Cloud Agent Development Platform. This empowers enterprises and developers to create intelligent customer service solutions with rich scenarios and comprehensive features, greatly improving knowledge production efficiency, question coverage rate, and response accuracy.
Enterprise-level knowledge base search and intelligent Q&A are supported. This assistant can efficiently process, analyze, retrieve, and answer questions about multimodal knowledge in the knowledge base, enabling rapid parsing and retrieval of operation manuals and product manuals with mixed text and images, assisting enterprises and developers in building intelligent enterprise-level knowledge base systems.
Characters in games have been upgraded into intelligent NPCs driven by large model Q&A systems. These NPCs can not only answer questions raised by players but also engage in open-ended Q&A interactions, thereby enhancing the gaming experience and increasing player retention.
Establish an encrypted channel for data transmission to ensure that the data has the following features during the transmission process：
- Eavesdropping Prevention
- Tamper Resistance
- MITM Protection
Logical Segmentation is implemented based on RBAC (Role-Based Access Control) to ensure：
- Each tenant is assigned a Dedicated Storage Volume
- Prevent Lateral Movement through Namespace and access policy (ACL)
Deploy the SIEM (Security Information and Event Management) system to implement:
- Full Immutable Logging, recording CRUD behaviors throughout the process
- Real-time alarm for abnormal access
- Forensic Readiness, supporting Chain of Custody traceability
Data generated during your use of this service will be processed in strict compliance with "Category C Privacy Policy Module" and "Category C Data Processing and Security Agreement Module".
If you have any needs, please contact us via Email intl_ai_business@global.tencent.com