Sparse Matrix in Data Structure
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mathswithmuza on Instagram: "Matrix multiplication is a method of combining two matrices to produce a third matrix that represents the composition of linear transformations encoded by the originals. For two matrices to be multiplied, the number of columns in the first must equal the number of rows in the second. The entry in the resulting matrix is found by taking the dot product of corresponding rows and columns from the original matrices. This operation is not commutative, meaning the order of
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mathswithmuza on Instagram: "Matrix multiplication is a method …
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How to build knowledge graphs that are fast enough for real-time LLM applications? FalkorDB is an open-source graph database that solves this by reimagining how graphs work. It uses sparse matrices and linear algebra instead of traditional traversal! But there's a problem: When you query for connections, the database walks through nodes and edges like following a map. For massive knowledge graphs powering AI agents, this creates a serious bottleneck. But what if you could represent the entire gr
How to build knowledge graphs that are fast enough for real-time LLM …
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