春节前幻方量化发布的大模型DeepSeek-R1，一经亮相便迅速炸场AI领域，全球的企业管理者、创业者、项目经理、分析师乃至相关部门领导人都现身说法，感慨DeepSeek-R1在大模型领域取得的突破性进展。

GridGain®, provider of the leading real-time data processing and analytics platform, today announced GridGain for AI, which enables organizations to use GridGain as a low-latency data store for ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

VectorDBs have become mandatory for RAG embeddings, while GraphRAG and ... of autonomy comes the challenge of applying guardrails. LangChain's State of Agents survey stresses the importance ...

Imagine an AI assistant that doesn’t just exist as a static AI tool but springs to life when needed, understanding the context and the perfect specialist for your task, and disappears when its job ...

Retrieval-Augmented Generation (RAG) is an AI architecture that enhances the capabilities of Large Language ... We’ll embed the text chunks using a pre-trained model and store them in a Chroma vector ...

The Langchain Agent UI, powered by the open source CoAgent framework, is reshaping how developers approach the creation of AI agents. By seamlessly integrating critical components such as memory ...

With the launch of the Contextual AI Platform, enterprises will be able to create specialized “RAG agents” that can automate knowledge work on behalf of users. The new platform is based on an ...

LangChain, the agentic AI pioneer, introduced the term “ambient agents” on January 14. The technology that LangChain develops includes its eponymous open source LangChain framework that ...

CAG：Cache-Augmented Generation 缓存增强生成。 不要做 RAG 了：当缓存增强生成对于知识任务就足够时 检索增强生成（RAG）作为一种通过整合外部知识源来增强语言模型的有效方法，已经得到了广泛应用。然而，RAG 引入了检索延迟、文档选择潜在错误和系统复杂性 ...