Wenxin Baizhong: Search System Powered by Baidu's ERNIE 138

Wenxin Baizhong is committed to making the development and optimization of search systems simpler. Built on Baidu's Wenxin large model, it uses an extremely simple framework to replace the complex construction and maintenance costs of traditional search engines, supports end-to-end integrated applications for enterprises and developers, and replaces the traditional inverted index with a new generation of semantic vector search, achieving breakthroughs in both effectiveness and efficiency.

Wenxin Baizhong can be integrated into various enterprise and developer applications at low cost, and its data-driven optimization model enables ultimate industry optimization efficiency and application performance.

The core advantage of Wenxin Baizhong lies in its adoption of a new generation semantic vector search mode, which offers significant advantages over the traditional inverted index mode. The semantic vector search mode can more deeply understand query intent and user needs, thereby providing more accurate and personalized search results. This search mode not only improves search effectiveness but also significantly enhances search efficiency, achieving breakthroughs in both effectiveness and efficiency.

In addition, Wenxin Baizhong places special emphasis on the needs of enterprises and developers. It provides end-to-end integrated application capabilities, allowing enterprises and developers to more conveniently integrate Wenxin Baizhong into their own applications, thereby quickly enhancing the search functionality and user experience of their applications. This feature makes Wenxin Baizhong a powerful assistant for enterprises and developers in the search field.

Why choose Wenxin Baizhong?

• Extremely simple technical architecture: An end-to-end search architecture with a large model at its core, with a single architecture supporting various types of heterogeneous data search.

• Extremely simple product usage: Containerized one-click deployment, zero-threshold installation and startup, with support for visual console, command line, and API operations.

• Extremely simple optimization process: Data-driven, low-threshold effectiveness optimization, with click logs automatically collected for self-optimization.

• Powerful general semantic understanding capability: Inherits the semantic understanding capability of the Wenxin model with hundreds of billions of parameters, a single model refreshing over 60 Chinese NLP task benchmarks and topping the global SuperGLUE leaderboard.

• Excellent scenario business migration capability: The large model has strong few-shot capability with a low optimization threshold, requiring a small amount of labeled data for industry migration, and in some scenarios, it can go live without any optimization.

• Extremely low search system construction cost: Replaces traditional complex manual strategy construction with an AI large model, requiring only the import of data to be searched to complete the construction of the index library, eliminating the need for developers with a machine learning background for construction and iteration, truly achieving a low-cost "industrial application."

• Flexible data integration capability: Relying on powerful model capabilities and product design, different types of heterogeneous data can reuse a single model and a single interface, allowing direct database construction and direct search.

How to use Wenxin Baizhong?

1. Configure search: Create a search project and configure the schema that needs to be indexed.

2. Import data: Import the data to be searched, and the built-in large model completes the index library construction with one click.

3. Search experience: Experience the search results instantly.

Usage scenarios of Wenxin Baizhong:

• Enterprise internal search: For enterprise internal management and knowledge acquisition scenarios, enabling one-stop search of documents, receipts, resumes, contracts, etc., with unified input, modeling, and search of multi-source heterogeneous data.

• Knowledge recommendation: Based on user profiles, accurately finds and pushes relevant content from the massive accumulated experience within the enterprise, helping efficient application of internal knowledge.

• Knowledge search: Based on the large model's understanding of language knowledge and rapid learning of domain knowledge, supports quick search of code, tutorials, blogs, and other programming development knowledge, efficiently serving developers.

• Q&A search: Intelligently finds answers to questions from articles, documentation, operation manuals, and other content, integrated into virtual human dialogue and chat processes, giving virtual humans a higher "IQ".

Baidu Wenxin Baizhong is an innovative search product based on Wenxin large model technology. Through its extremely simple framework design and new generation semantic vector search mode, it achieves breakthroughs in both search effectiveness and efficiency, providing enterprises and developers with more efficient and convenient search solutions.