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Enterprise AI knowledge base

Based on the large language model and RAG retrieval enhanced generation technology, we will create an internal and external integrated enterprise knowledge platform. Import documents with one click, employees check system processes in seconds, and customers get product answers on their own, allowing sleeping corporate knowledge assets to truly create value.

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AI-driven

Let corporate knowledge be asked by everyone and available at any time

Product manuals scattered everywhere? Is training for new employees costly? Does the customer ask the same question repeatedly? The enterprise AI knowledge base uniformly manages all documents, systems, FAQs, and product materials, and accurately searches through natural language questions and answers to improve internal efficiency and reduce external costs.

Internal knowledge questions and answers customer self-service RAG precise search
Enterprise AI knowledge base
Pain point analysis

Knowledge management chaos? These pain points are dragging down efficiency

Documents are sleeping, information islands, and repeated training. The AI knowledge base allows corporate knowledge to truly flow

📄

Documents are scattered and difficult to find, and knowledge sleeps

Product manuals and system documents are scattered in online disks, Group chats, and emails. Employees encounter problems and don't know where to find them

👤

Long training cycle for new employees

Newcomers need repeated teaching from old employees to get started. Product knowledge is passed down entirely through word of mouth, and the energy of old employees is heavily consumed

💬

Customers have repeated consultations, resulting in great pressure on customer service

Customers repeatedly ask about product parameters and usage methods, customer service is tired of dealing with duplicate questions, and high-value inquiries cannot be handled in a timely manner.

🔍

Traditional search cannot find answers

Keyword search can only match the title and cannot understand the semantics. Searching for a bunch of irrelevant documents is like looking for a needle in a haystack.

Precise questions and answers in natural language, allowing enterprise knowledge assets to be activated with one click
01
core functions

Six core functions, comprehensive upgrade of knowledge management

📄

One-click import of multi-format documents

Support Word, PDF, Excel, PPT, TXT and other formats, drag and drop upload automatically parsing slices without manual organization

🔍

RAG Intelligent Accurate Question and Answer

Enhanced generation based on search, accurately find the answer and quote the source. It is not fabricated and has evidence to follow, and the answer is true and reliable.

👥

Permission isolation of internal and external dual libraries

The internal library is for employees, and the external library is for customers. The authority is carefully controlled, sensitive information is not leaked, and security is guaranteed.

🌐

Automatic construction of knowledge maps

Automatically extract entities and association relationships, build a visual knowledge map, visually display knowledge connections, and discover hidden associations

📱

Multi-channel embedded deployment

Embed in official website, public account, enterprise micro, flying book, nail and other channels, unified management in one backend, and access anytime and anywhere

📊

Continuous optimization of data insight

Count hot issues and knowledge gaps to help continuously improve the knowledge base. The more AI is used, the smarter it becomes, and the knowledge system continues to evolve

Smart Q & A presentation
📄 员工手册2025版 📄 产品技术规格书 📄 common problems FAQ
🤖
Enterprise AI knowledge base
online services
How to apply for annual leave? How many days do I need to advance?
According to the provisions of the "Employee Handbook 2025 Edition": employees applying for annual leave must be submitted through OA 3 working days in advance, approved by the supervisor within 3 days, and approved by the director for more than 3 days.📎 引用来源:员工手册 P.12
What is the operating temperature range of Model X?
02
core advantages

Why choose Enterprise AI Knowledge Base

001

Knowledge retrieval efficiency increased by 80%

Accurate answers can be obtained when asking questions in natural language, and searching for information is shortened from tens of minutes to seconds.

002

Newcomer training cycle shortened by 50%

New employees ask AI questions at any time to learn independently, greatly reducing dependence on old employees

003

60% reduction in customer service workload

Customers get answers on their own, repeated consultations are greatly reduced, and customer service focuses on high-value customers

004

Knowledge assets are never lost

Core knowledge is accumulated in the knowledge base and is not lost due to personnel flow, and value continues to be created

005

The answer is well-founded and traceable

Each answer is marked with a reference to the source document, so that employees and customers can view the original data with confidence and reliability

006

Rapid deployment online

SaaS version 3-5 is online, supporting privatization deployment, data security and control, and quick results

Activate enterprise knowledge assets and start intelligent knowledge management

Let every document generate value and give every question an answer

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