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 ...

What is vector search and how is it transforming the search experience? Edo Liberty, CEO of Pinecone and former head of Amazon's AI lab, explains. We’ve been talking with search industry pros and ...

For simple user queries, a search engine can reliably find the correct content using keyword matching alone. A “red toaster” query pulls up all of the products with “toaster” in the title or ...

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 ...

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 ...

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 ...

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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 ...

Vector databases explained through speed vs velocity: why AI needs vectors, not rows and columns, to manage context, ...