点击上方“Deephub Imba”,关注公众号,好文章不错过 !本文会带你从零搭建一个完整的概念验证项目（POC），技术栈涵盖 Adaptive RAG、LangGraph、FastAPI 和 Streamlit 四个核心组件。Adaptive RAG 负责根据查询复杂度自动调整检索策略；LangGraph 把多步 LLM 推理组织成有状态的可靠工作流；FastAPI 作为高性能后端暴露整条..

AI驱动的建筑工程项目管理个性化反馈系统开发与评估，通过整合大语言模型（LLM）与检索增强生成（RAG）技术，在实体研讨会和在线课程中验证了81名参与者的系统可行性，发现参与度与感知公平性显著影响工具持续使用意愿，提出包含降低认知负荷、增强诊断 ...

本研究针对药物溶出实验耗时费力的痛点，由研究人员开发了融合DeepSeek大语言模型（LLM）与自适应加权检索增强生成（RAG）的创新框架。通过结合扩散模型生成SEM形态参数，实现了从微观结构到宏观溶出曲线的精准预测，显著提升预测效率与准确性，为AI驱动 ...

有观点认为，如果十年前Wolfram开源，LLM今天就会把Wolfram Language当成第一语言去用，就像Python一样。Python没有独占任何算法，却成了整个AI时代的地基。这个比较对Wolfram有点残忍，但并非没有道理。

Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...

Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to ...

Much of the interest surrounding artificial intelligence (AI) is caught up with the battle of competing AI models on benchmark tests or new so-called multi-modal capabilities. But users of Gen AI's ...

Vectara, an early pioneer in Retrieval Augmented Generation (RAG) technology, is raising a $25 million Series A funding round today as demand for its technologies continues to grow among enterprise ...