Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models.
To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired with vector databases.
The multi-modal combination delivers deeper learning and insights, Graph RAG for smarter AI, and super fast response times ...
By combining RAG architectures, knowledge graphs, and vector databases, this approach bridges traditional data silos while ...
For years, search engines and databases relied on essential keyword matching, often leading to fragmented and context-lacking results. The introduction of generative AI and the emergence of ...
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind.
(MENAFN- GlobeNewsWire - Nasdaq) The multi-modal combination delivers deeper learning and insights, Graph RAG for smarter AI, and super fast response times REDWOOD CITY, Calif., March 04 ...
REDWOOD CITY, Calif., March 04, 2025 (GLOBE NEWSWIRE) -- TigerGraph, the enterprise AI infrastructure and graph database leader, today announced its next generation graph and vector hybrid search ...