What is ChatWiki?
Are you struggling to manage and access your organization's vast knowledge? Do your employees spend valuable time searching for crucial information scattered across documents, FAQs, and internal databases? ChatWiki offers a straightforward solution: an AI-powered question-and-answer system that transforms your existing data into a readily accessible, intelligent knowledge base.
Key Features :
🧠 Create an Exclusive AI Q&A System: Quickly build a knowledge base by importing your existing corporate documents, data, and FAQs. ChatWiki leverages this information, allowing your AI-powered assistant to provide accurate, context-aware answers.
⚙️ Integrate with Leading AI Models: ChatWiki seamlessly integrates with over 20 of the world's most popular large language models (LLMs), including OpenAI, Azure OpenAI, Baidu's ERNIE Bot, and more. Simply input your API key, and ChatWiki handles the rest.
📁 Automatic Data Preparation: Upload data through various methods – automatic segmentation, QA pairs, manual input, or CSV files. ChatWiki automatically preprocesses, vectorizes, and organizes the imported text.
🖥️ Easy to Use Interface: A visually intuitive experience interface to interact with. Build AI-powered Q&A systems easily.
📱Multi-Channel Access: Connect with your knowledge base through various interface, including Web Apps, websites, WeChat official accounts, Mini Programs, and even WeChat video account customer service.
🛡️ Free, Open-Source, and Secure: Deploy ChatWiki on your own servers with a single click. The entire system is open-source and free to use.
🛠️ Customizable and Extensible: Need more tailored features? The software can be customized.
Use Cases:
Customer Service: A customer service representative uses ChatWiki to instantly access product information, troubleshooting guides, and return policies, improving response times and customer satisfaction. It can answer customer inquiries directly through multiple channels.
Internal Knowledge Management: A new employee uses ChatWiki to quickly find HR policies, onboarding documents, and internal procedures, getting up to speed faster and reducing the burden on senior staff.
Industry-Specific Expertise (Finance, Healthcare, Legal, etc.):
Finance: A financial analyst queries ChatWiki for market data, investment strategies, and risk assessments.
Healthcare: A nurse uses ChatWiki to quickly access drug information, diagnosis criteria, and treatment plans.
Legal: A lawyer searches ChatWiki for relevant legislation, case precedents, and contract templates.
Conclusion:
ChatWiki empowers your organization to centralize, organize, and access its knowledge efficiently. By integrating with leading AI models, ChatWiki will transform your existing data into a powerful, easily searchable asset. Move beyond the static documents of the past. Experience the ease and effiency of ChatWiki.
FAQ:
Q: What kind of data can I import into ChatWiki?
A: You can import various types of data, including internal documents, FAQs, product manuals, procedures, and any other text-based information.
Q: What are the system requirements for running ChatWiki?
A: You'll need a Linux server with internet access, at least 2 CPU cores, and a minimum of 4GB of RAM.
Q: How does ChatWiki ensure data security?
A: ChatWiki supports local deployment on your own servers, giving you complete control over your data and ensuring its privacy and security. It doesn't transmit your data to external services.
Q: How does ChatWiki Differ from other Chatbots?
A: ChatWiki specializes in using your company's knowledge. Many free chatbots are trained on generic internet data. ChatWiki focuses on using the LLM+RAG framework to use your data, specifically.
More information on ChatWiki
Launched
2010-01
Pricing Model
Free
Starting Price
Global Rank
2989496
Follow
Month Visit
<5k
Tech used
Gzip
Top 5 Countries
100%
China
Traffic Sources
2.05%
0.53%
0.17%
10.5%
53.68%
33.06%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
ChatWiki was manually vetted by our editorial team and was first featured on 2025-02-14.
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