Graph

in supply-chain planning has traditionally been treated as a time-series problem. Each SKU is modeled independently. A rolling time window (say, last 14 days) is used to predict tomorrow’s sales. Seasonality is captured, promotions are added,...

Summary in the primary half of the Nineteenth century, and you are feeling an almost paralyzing ache in your abdomen. You now have a alternative. You learn to live with that pain for the...

I in each a graph database and a SQL database, then used various large language models (LLMs) to reply questions on the information through a retrieval-augmented generation (RAG) approach. By utilizing the identical...

composers are known to reuse motifs (i.e., characteristic note progressions or melodic fragments) across their works. For instance, famous Hollywood composers corresponding to John Williams (, , ) and Hans Zimmer (, ,...

In my last article , I threw out a number of ideas centered around constructing structured graphs, mainly focused on descriptive or unsupervised exploration of information through graph structures. Nevertheless, once we use graph...

models connected to your Neo4j graph gain incredible flexibility: they'll generate any Cypher queries through the Neo4j MCP Cypher server. This makes it possible to dynamically generate complex queries, explore database structure, and...

a pc, Edvard Munch’s  is nothing greater than a grid of pixel values. It has no sense of why swirling lines in a twilight sky convey the agony of a scream. That’s because...

, I present my latest open-source project — Government Funding Graph. The inspiration for this project got here from a desire to make higher tooling for grant writing, namely to suggest research topics, funding bodies,...