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 ...

Vector databases don't get as much love as their flashier counterparts, large language models (LLMs). But the startups building them are still crucial to the current AI revolution, and investors are ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...

Generative AI is revolutionizing data and analytics, but its applications demand advanced data management capabilities to handle vast, diverse, and complex datasets that include images, video, audio, ...

Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot, ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

DataStax, the well-funded Apache Cassandra-centric database company, is placing a lot of its current bets on AI and its technology’s ability to provide highly scalable vector search capabilities to ...

In the age of generative AI (genAI), vector databases are becoming increasingly important. They provide a critical capability for storing and retrieving high-dimensional vector representations, ...

A practical look at why labels and policies are not enough unless access controls are enforced before sensitive data reaches ...

Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...