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..

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

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 ...

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 ...

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 ...

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 ...