An enterprise-level AI knowledge base question and answer system that supports uploading and parsing multiple document formats, such as PDF, Word, Excel, Markdown, automatic segmentation and vectorization processing, and builds a dedicated enterprise knowledge base.
It integrates more than 20 mainstream large language models, such as DeepSeek, OpenAI, Claude, etc., uses RAG technology to improve the accuracy of question and answer, and also supports functions such as context optimization, intelligent question guidance, and image extraction and reply.
ChatWiki is an open source knowledge base AI Q & A system developed by Sesame Small Customer Service Team. It aims to help enterprises, universities and government agencies quickly build intelligent Q & A platforms based on private knowledge bases.
Project introduction
ChatWiki is based on Large Language Model (LLM) and Retrieval Enhanced Generation (RAG) technologies, combined with GraphRAG knowledge graph construction, provides out-of-the-box data processing and model invocation capabilities, supports multiple document formats (such as DOCX, PDF, Excel, OFD, etc.), and can quickly build a private knowledge base AI question and answer system.
🚀Core functions
- Multiple model support: Compatible with more than 20 mainstream large language models, including DeepSeek, Thousand Questions, Doubao, etc. Users can choose the appropriate model according to their needs.
- Automatic data preprocessing: Supports multiple methods to import data such as automatic segmentation, QA segmentation, manual input and CSV. The system automatically preprocesses, vectorizes or QA segments the imported text data.
- visual interface: Provides intuitive visual interface design. Through simple and easy-to-understand operation steps, users can easily complete the creation of AI question and answer robots and knowledge bases.
- multi-channel access: Support various access methods such as H5 links, embedding in websites, binding to Weixin Official Accounts or Mini programs, and desktop clients to meet the needs of different business scenarios.
Applicable scenarios
ChatWiki is particularly suitable for organizations that need to ensure data security and privacy, such as businesses, educational institutions, and government departments. Through local deployment, users can build a dedicated AI Q & A system to ensure the security of private data without relying on external cloud services.
Official website:https://chatwiki.com/
Github：https://github.com/zhimaAi/chatwiki
Oil tubing: