Showing 4 open source projects for "php knowledge base system"

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    Casibase

    Casibase

    Open-source enterprise-level AI knowledge base and MCP

    Casibase is an open-source AI cloud platform designed to function as an enterprise knowledge base, container management system, and collaboration environment for AI-driven applications. The project combines knowledge management, messaging, and forum features with large language model integration to create an interactive platform for storing and querying domain-specific knowledge. Built with a separated frontend and backend architecture, Casibase provides a web-based administrative interface and supports high concurrency for enterprise environments. ...
    Downloads: 0 This Week
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  • 2
    ChatWiki

    ChatWiki

    ChatWiki WeChat official account's AI knowledge base workflow agent

    ChatWiki is an open-source AI knowledge base and workflow automation platform designed to help organizations build intelligent question-answering systems using large language models and retrieval-augmented generation techniques. The system enables companies to transform internal documents and data into searchable knowledge bases that can power AI assistants capable of answering domain-specific questions.
    Downloads: 0 This Week
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  • 3
    PandaWiki

    PandaWiki

    AI-powered open source platform for building intelligent wiki bases

    PandaWiki is an open source knowledge base system designed to help users build intelligent documentation platforms powered by large language models. It combines traditional wiki functionality with modern AI capabilities, allowing teams and individuals to create and manage product documentation, technical manuals, FAQs, and blog-style knowledge resources. PandaWiki provides tools for managing knowledge bases through an administrative interface while also generating public-facing wiki sites where users can browse and interact with content. ...
    Downloads: 0 This Week
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  • 4
    WeKnora

    WeKnora

    LLM framework for document understanding and semantic retrieval

    ...It follows the Retrieval-Augmented Generation (RAG) paradigm, where relevant document segments are retrieved and used by language models to generate accurate, context-aware responses. This approach enables the system to provide more reliable answers by grounding model reasoning in the content of uploaded documents. WeKnora is designed with a modular architecture that separates components for document processing, search strategies, and model inference, allowing developers to customize or extend different parts of the pipeline. It supports knowledge base management and conversational question answering built on top of structured and unstructured documents.
    Downloads: 2 This Week
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