Local knowledge base RAG and Agent applications based on Langchain and multiple language models.
Langchain-Chatchat (originally Langchain-ChatGLM) is an application built on the Langchain framework and various language models (such as ChatGLM, Qwen, Llama, etc.), designed to enhance local knowledge bases. This tool supports the rapid construction and deployment of chatbots with local knowledge retrieval and enhancement capabilities, making it suitable for scenarios that require highly customized and localized knowledge processing.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"Supports multiple language models",
"Local knowledge base integration",
"Rapid deployment and customization"
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"datePublished": "2025-12-05T16:11:28.404524+00:00",
"dateModified": "2025-12-19T05:07:41.081158+00:00",
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"acceptedAnswer": {
"@type": "Answer",
"text": "Internal knowledge base search, Educational resource search, Customer support"
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"name": "What are the advantages of Langchain-Chatchat?",
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"name": "What are the limitations of Langchain-Chatchat?",
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"@type": "Answer",
"text": "需要一定的技术背景, 模型训练和部署成本较高"
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