Purpose and Positioning
Biaohang AI Bid Document is an AI tool centered on the scenario of writing bid documents. Officially described as an "AI bid document intelligent generation service," its goal is to generate complete bid documents in one click through four steps, saving labor and time costs while improving the bid winning rate of bidding documents. Its positioning is not to replace writers, but to empower teams.
Main Capabilities
- Tender Project Analysis: Supports drag-and-drop or click-to-select local file upload of tender documents. The system automatically parses the core points, project name, and project type. Officially stated to fully parse the original formats of tender documents such as PDF and Word. It can not only read text, but also accurately identify and structure key information in the document such as heading levels, tables, images, and detailed scoring criteria, converting it into structured data that large models can deeply understand, and breaking through context window limitations to comprehensively understand bid document materials of hundreds of thousands of words.
- Bid Document Layout Settings: Can set diverse options such as bid document cover, bid document generation template, bid document page count, table count, and flowcharts according to one's own needs and preferences.
- One-Click Body Writing: Relies on the RAG knowledge base to precisely screen and output industry-specific knowledge, which is officially stated to produce higher-quality writing results; can choose illustrated text, table integration, and also has bid document production functions such as online image search, chart generation, and AI text-to-image.
- High-Fidelity Output: Performs vectorized processing on bid document templates. The plain text content generated by AI is precisely filled into specified templates through a rendering engine. Dynamically generated data tables or charts can all achieve "what you see is what you get" high-fidelity output, ensuring the final bid document meets format requirements and can be directly printed or submitted.
Technical Mechanism
- RAG Knowledge Base: Builds an exclusive RAG knowledge base, and also supports accounts in personally building and managing private RAG knowledge bases.
- Hybrid Retrieval: Combines vector semantic retrieval with full-text retrieval (BM25) in a hybrid mode, supplemented by intelligent reranking (Rerank) technology, to efficiently and accurately find the most matching content from the knowledge base. Officially stated to eliminate "knowledge hallucination" and ensure factual accuracy.
Security and Data Protection
- Secure Transmission: Establishes encrypted channels through SSL/TLS protocols to prevent illegal theft, tampering, or interception during transmission.
- Data Storage: Uses distributed storage technology and data backup and recovery technology to store data dispersedly on multiple independent storage nodes, improving data reliability and availability through redundant storage mechanisms.
- Data Confidentiality: Uses data encryption technology and access control technology to encrypt all content uploaded or generated by users, and restrict unauthorized users' access to sensitive data.
- System Security: Uses firewall technology, intrusion detection and prevention systems, and security audit technology to promptly discover and block potential intrusion behavior and take defensive measures.
How to Use
The officially described process has four steps: upload tender documents for project analysis, set bid document layout, one-click body writing, and generate output. Details of the specific operation interface and account system are not yet provided.
Applicable Scenarios
Suitable for teams or individuals that need to write bid documents, especially when facing tender projects with long length, strict formatting requirements, and the need to cite industry knowledge, they can use its parsing, retrieval, and layout capabilities to improve writing efficiency.
Limitations and Information Not Yet Provided
The official text does not provide specific charging methods, prices, free quotas, platform support scope (such as whether a web version, client, or mobile version is provided), explanations of the legal effect and compliance of generated bid documents, or actual bid winning rate data. This information is not yet provided, and it is recommended to verify it yourself before use.
