作者 | Sergio De Simone译者 | 明知山策划 | 丁晓昀Vertex AI RAG Engine 是一项托管的编排服务，旨在简化大语言模型与外部数据源的连接，它能够帮助模型保持数据更新，生成更贴合需求的答案，并有效减少幻觉。根据谷歌的说法，新的 RAG Engine 是使用 Vertex AI 实现基于 RAG 的 LLM 的“理想选择”，它在 Vertex AI ...

Generative diffusion models like Stable Diffusion, Flux, and video models such as Hunyuan rely on knowledge acquired during a single, resource-intensive training session using a fixed dataset. Any ...

As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating ...

RAG is changing the face of generative AI by aggregating retrieval and generation to bring out precise, pertinent and ...

如果能的话，它就有可能沿着数据库的发展路径，逐步形成类似于“Schema”和“Data Model”的概念。同时，RAG 的核心也还是和大模型的调用环节相关 ...

Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to ...

"When Citations is enabled, the API processes user-provided source documents (PDF documents and plaintext files) by chunking ...

RAG takes large language models a step further by drawing on trusted sources of domain-specific information. This brings ...