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 ...

Are you confusing search algorithms with AI architecture? —Recently, I watched a YouTube video explaining RAG ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced new performance and cost-efficiency breakthroughs with two significant enhancements to its vector search. Users ...

A vector is a set of numbers. It represents data in a format machines can understand. Think of it like turning a sentence into a point in space. Vector search is a modern technique for retrieving ...

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...

Real time database vendor Rockset is expanding the AI capabilities of its namesake database with enhanced vector search and scalability. "Our support for vector search is going GA and is getting very ...

MongoDB Atlas Vector Search now includes extended capabilities for querying contextual data and performance improvements to accelerate building generative AI applications New integration with ...

Are you really not blaming "chunking" for RAG accuracy?After building a RAG system, have you ever had this experience? Subtly ...

Weaviate strengthens its AI-native vector database with adaptive HNSW search technology designed to improve filtered-search throughput while supporting high recall, without requiring index rebuilding.