Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

What do you think of when you hear the name IBM? Maybe the first things you think about are home computers or business laptops. Maybe you think of IBM as a company that runs data centers. It's not ...

Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

Pony is an advanced object-relational mapper. The most interesting feature of Pony is its ability to write queries to the database using Python generator expressions and lambdas. Pony analyzes the ...

ODB is an open-source, cross-platform, and cross-database object-relational mapping (ORM) system for C++. It allows you to persist C++ classes to a relational database without having to deal with ...

The surge in data company acquisitions continued Monday with Snowflake’s purchase of Crunchy Data. Cloud data platform Snowflake announced its intent to acquire Crunchy Data, a Postgres database ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...

Artificial intelligence (AI) relies on vast amounts of data. Enterprises that take on AI projects, especially for large language models (LLMs) and generative AI (GenAI), need to capture large volumes ...