When designing search systems, the decision to use keyword-based search, vector-based search, or a hybrid approach can significantly impact performance, relevance, and user satisfaction. Each method ...

Most vector search systems struggle with a basic problem: how to break complex documents into searchable pieces. The typical approach is to split text into fixed size chunks of 200 to 500 tokens, this ...

MongoDB has cemented its status as a global leader in the database market, evolving well beyond its roots as a popular NoSQL ...

One of the key components of Microsoft’s Copilot Runtime edge AI development platform for Windows is a new vector search technology, DiskANN (Disk Accelerated Nearest Neighbors). Building on a ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

SAN FRANCISCO--(BUSINESS WIRE)--Algolia today launched Algolia NeuralSearch™, a next-generation vector and keyword search in a single API with powerful, end-to-end AI processing every query. Algolia ...

Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage tier rather than a direct replacement for specialized vector databases.

What if your AI agents could consistently deliver results that are both razor-sharp and deeply intuitive? For too long, developers have struggled with the limitations of traditional search ...