NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.

Your content may already be surfacing for searches you never planned for. Here's how to identify those opportunities and act ...

A new framework, Arbor, they claim, preserves hypotheses, experiments, and lessons learned across long-running research tasks ...

Query optimization lies at the heart of modern database management systems, striving to identify the most efficient access and execution plan for a given declarative query. Traditional optimisers ...

Query optimisation in distributed database systems addresses the challenge of selecting an efficient execution plan across multiple networked nodes. Owing to the combinatorial explosion of possible ...

According to @_avichawla on Twitter, QueryWeaver is now available on GitHub as an open-source toolkit for optimizing graph-augmented retrieval and natural language queries over knowledge graphs, ...

In today’s data driven world, efficient database performance is crucial for applications to run smoothly. SQL (Structured Query Language) is widely used to interact with databases, but poorly written ...

Abstract: Autonomous parking trajectory planning in unstructured environments with irregular obstacles must address the challenges posed by non-convex obstacle constraints. Due to the coupling between ...

This paper introduces a novel mathematical framework for database query optimization based on Galois group theory. We demonstrate how the algebraic structures of symmetry groups can be systematically ...

Power Query used to be quite limited in Excel for the web, but Microsoft has now rolled out an update that brings the full experience to certain subscribers. Microsoft, in a recent announcement, said ...

Azure SQL Query Store now captures read-only queries, expanding performance visibility beyond transactional workloads DBAs can analyze execution plans and runtime statistics for primary and read-only ...

Existing index tuners typically rely on the “what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...