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Graph database biz says on-prem, air-gapped intel stack gives governments a no-kill-switch option
Graph intelligence leaders join forces to deliver a customer-proven, open-standards intelligence analysis platform that ensures data sovereignty
Neo4j announced an agreement to acquire GraphAware, an intelligence analysis software company for government agencies.
Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, em...
At Google Cloud Next, we announced the preview of graph algorithms with Spanner Graph, bringing Google Research’s state-of-the-art graph mining capabilities natively to your databa...
Large language models (LLMs) are impressive — until they are not. If you ask one about your internal data, your product catalog, or your users' reviews, it will either hallucinate...
Сравниваем нативный Property Graph в Spanner с рекурсивными CTE в AlloyDB — и объясняем, почему для персональной wiki второй подход оказался практичнее Читать далее
1 Introduction Graph databases excel at storing and traversing highly connected data used for recommendation engines, fraud detection, knowledge graphs, and social networks. Neo4j...
Rippling’s AI Bet: The Data Graph Is the Moat Rippling’s whole AI bet comes down to one thing: a single connected database under every product it sells. Luke Prokopiak, who leads R...
The Setup: The Hype Machine It’s vector database season. Conferences are full of RAG pipeline talks. Pinecone raised over $100 million; Milvus, Weaviate, and Qdrant are all well-fu...
As enterprises adopt agentic AI, they need to shift from reactive systems of intelligence to proactive systems of action to equip the agents they’re building with the context and p...
Based in the UK, Curve are building a financial super-app, a smart wallet that consolidates all your debit and credit cards into a single app and card, simplifying how millions of...
In this post, we discuss the differences between vector search and graph search, how to combine the two for hybrid querying, and use cases that benefit from hybrid querying.
Presented by MongoDBThe gap between what AI models and agents can produce and what legacy infrastructure can reliably support is known as architectural drag, and it is the defining...
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