Mainframes are very much still vital for performance- and security-conscious use cases. To optimise TCO, AI and hybrid cloud can help them retain their advantages Continue Reading ...

SlothDB is a from-scratch C++20 embedded SQL database in active development. Same model as DuckDB and SQLite: query Parquet, CSV, JSON, Arrow, Avro, SQLite, and Excel files directly with SQL, ...

We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor. Our goal is to transform unstructured PDF documentation—like the ...

At the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) in Suzhou, China this week (November 4-9, 2025), researchers from Bloomberg’s AI Engineering group and its BLAW ...

Abstract: Translating Natural Language to SQL (NL-to-SQL) allows users to communicate with databases using a common language instead of complicated query syntax. This is important as it frees the ...

Abstract: Text-to-SQL conversion, the process of generating SQL queries from natural language input, has gained significant attention due to its potential to simplify database interaction. Although ...

Retrieval-Augmented Generation (RAG) combines large language models (LLMs) with information retrieval techniques. The key objective is to connect a model’s built-in knowledge with the vast and ...

I have encountered challenges when using 7B LLMs for SQL generation tasks, particularly when working with the company’s databases. These models often struggle to generate accurate SQL queries, even ...

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...