quivr

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    "name": "quivr",
    "description": "Quivr is an opinionated Retrieval-Augmented Generation (RAG) framework designed to simplify the process of integrating generative AI into existing applications. Developers can focus on product features without delving into the complexities of RAG. Quivr supports various language models (such as GPT-4, Groq, Llama) and vector stores (such as PGVector, Faiss), and is capable of handling a wide range of file types. Its flexibility and ease of use make Quivr an ideal choice for rapidly developing AI-driven applications.",
    "url": "https://agentsignals.ai/agents/quivr",
    "applicationCategory": "开发工具",
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    "featureList": [
      "Supports multiple large models",
      "Supports various vector storage",
      "Easy to integrate and customize"
    ],
    "datePublished": "2025-12-05T16:11:22.749669+00:00",
    "dateModified": "2025-12-19T05:06:29.58531+00:00",
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      {
        "@type": "Question",
        "name": "What is quivr?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Quivr is an easy-to-integrate generative AI framework that supports multiple LLMs and vector databases."
        }
      },
      {
        "@type": "Question",
        "name": "What features does quivr offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Supports multiple large models, Supports various vector storage, Easy to integrate and customize"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for quivr?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Content Generation, Intelligent Search, Chatbot"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of quivr?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "高度可定制, 支持多种AI模型, 易于集成到现有项目"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of quivr?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "可能需要一定的技术背景, 推测：对于非技术人员可能不够友好"
        }
      }
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