Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...
Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...
Abstract: The in-context learning capability of Large Language Models has achieved significant success in text-to-SQL task. Most existed approaches generally adopt a straightforward three-stage ...
Community driven content discussing all aspects of software development from DevOps to design patterns. MySQL remains one of the most popular, open-source databases in the Java community, while ...
Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...
That second line is a bit long, so it would be nice to pull it out as a reusable extension method: Unfortunately this forces Entity Framework to run the query in memory, rather than in the database.
.Net Aspire is a comprehensive set of tools, templates, and packages designed to simplify the development of cloud-native applications using .Net. It focuses on building observable, production-ready ...
Chris Klug keeps seeing developers using Entity Framework in less optimal ways. Microsoft's open-source object-relational mapper (ORM) for .NET applications is not intended to be used to replicate the ...
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