腾讯网

2026 RAG 选型指南：Vector、Graph、Vectorless 该怎么挑

点击上方“Deephub Imba”,关注公众号,好文章不错过 !检索找到了某个语义上接近的片段，LLM 围绕它写出一段文字，但是没人发现答案是错的。这是 vector RAG 调参解决不了的失败问题。而现在有2种方法可以解决他：GraphRAG 增加了一层 knowledge graph，用来描绘实体之间的关系。Vectorless RAG 完全抛弃向量数据库，让 ...

Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
CIO

Vector Database vs. Knowledge Graph: Making the Right Choice When Implementing RAG

Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency of a Vector DB, the goal remains clear—to harness the power of RAG systems and drive innovation, productivity, and ...
VentureBeat

Neo4j brings vectors to graph database

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph database vendor Neo4j announced today new capabilities for vector ...
dbta

TigerGraph Provides Comprehensive Solution with the Addition of Hybrid Search to its Graph ...

TigerGraph, the enterprise AI infrastructure and graph database leader, is releasing its next generation graph and vector hybrid search, delivering the industry's “most advanced” solution for ...