Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...
According to @godofprompt, leading AI systems at frontier labs are utilizing hybrid retrieval by integrating vector search for broad initial matching and graph traversal for deep contextual ...
According to @godofprompt, leading AI engineers at OpenAI, Anthropic, and Microsoft are shifting from traditional RAG (Retrieval-Augmented Generation) systems to graph-enhanced retrieval methods, ...
Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...
What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...
A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...
Abstract: We demonstrate MITra, a system for synthesizing Multi-Instance graph Traversal algorithms that traverse from multiple source vertices simultaneously over a single thread. Underlying MITra is ...
Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...
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