New techniques make graph databases a powerful tool for grounding large language models in private data.

Chatbots typically save your conversations and use your data to train their AI. But there’s a hack to use the chatbots with more privacy guardrails.

Data lakes, along with data warehouses and databases, are central to modern computing. They form building blocks for data transformation.

By using Postgres as a base for vector storage we can use familiar tools to look inside and inspect what exactly is stored inside a vector database.

Companies become so good at generating perfect fake customers that they stop talking to real ones. The models work great until they meet actual humans.

Early adopters are using artificial intelligence to have daily conversations with their databases to mine business insights, freeing them up from keyboards forevermore.

The information in a marketing database can be used to achieve significant business benefits by supporting and improving performance across the whole spectrum of sales and marketing techniques ...

Using null arguments or search patterns in database metadata methods results in generating time-consuming queries. In addition, network traffic potentially increases due to unwanted results.

The database, if defined correctly, has indexes that it can use to speed up the query if you tell it to filter records such that it consumes less memory, less CPU and less network bandwidth.