InfoWorld19d
What is retrieval-augmented generation? More accurate and reliable LLMs
One example combines RAG with a graph database. The combination can make the results more accurate and relevant, particularly when relationships and semantic content are important. Another example ...
Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action
To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired with vector databases.
Mena FN14d
Tigergraph Unveils Next Generation Hybrid Search To Its Graph Database To Power AI At Scale; Also Introduces A Game-Changing Community Edition
(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 ...
Revolutionizing Knowledge Retrieval with Generative AI
By combining RAG architectures, knowledge graphs, and vector databases, this approach bridges traditional data silos while ...
Unite.AI8d
Post-RAG Evolution: AI’s Journey from Information Retrieval to Real-Time Reasoning
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 ...
DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind.
Yahoo Finance14d
TigerGraph Unveils Next Generation Hybrid Search to its Graph Database to Power AI at Scale; Also Introduces a Game-Changing Community Edition
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 ...