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advanced retrieval capabilitiesAerospike
•86% Informative
Graph RAG (retrieval augmented generation using graph databases) is emerging as a powerful advancement in AI .
The integration of graph databases helps AI handle more complex queries by retrieving interconnected information across nodes and edges.
Unlike traditional RAG models, graph RAG incorporates knowledge graphs into the retrieval process, offering structured, context-rich data.
Aerospike provides the infrastructure to support scalable, real-time graph processing that powers the advanced retrieval capabilities of graph RAG models.
Its applications span industries such as telecommunications, telecommunications, e-commerce, finance, healthcare , telecommunications and healthcare.
By combining knowledge graphs with AI and natural language processing ( NLP ) it enhances decision-making with domain-specific knowledge.
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