As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

Elasticsearch started life as a document database sitting atop the Lucene text search engine library. It was soon joined by related applications, and the preferred acronym for the Elasticsearch family ...

The semantic search capabilities added to the database offering include a new vector data type, vector indexes, and vector search SQL operators. Oracle is planning to add vector search capabilities to ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

Custom proximity search is a new feature introduced in SQL Server 2012 Full-Text Search. It's facilitated using the NEAR operator, allowing it to be used in the CONTAINS predicate or CONTAINSTABLE ...

Google is hosting a version of its Cloud Next conference in Tokyo this week, and it’s putting the focus squarely on tweaking its databases for AI workloads (because at this point in 2024, AI is the ...

Well, something to consider is partial text searches. I assume if they type something that shows up in one rows name column and another rows address column you want to return both reults, right? This ...

Microsoft Bing is getting a new “Deep Search” feature powered by OpenAI’s GPT-4. The feature is designed to give users more relevant and comprehensive answers to complex search queries. Microsoft ...