Qdrant, a leading provider of high-performance, open-source vector search, is offering a private beta of Qdrant Edge, a lightweight, embedded vector search engine designed for AI systems on devices ...

Viral vector-based vaccines, such as those developed by AstraZeneca and Johnson & Johnson, use a harmless virus, or adenovirus, as a delivery system to trigger the immune system to create ...

Today, this vector-based approach has evolved into sophisticated vector databases, systems that mirror how our own brains process and retrieve information.

BM42 combines the best of traditional text-based search and vector-based search to lower the costs for RAG and AI applications, Qdrant said. Qdrant’s BM42 was announced July 2.

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.

Vector DBs provide a variety of ANNs, each with its own flavor: Hash-based approaches (local sensitive hashing, spectral hashing, deep hashing and others); Tree-based approaches (Annoy, K-means tree); ...

Keyword Search: Best suited for long documents, datasets with novel terms, and precise queries. Vector Search: Ideal for semantic understanding, multilingual datasets, and meaning-based retrieval.

While the v.st can only connect to monochrome X/Y systems like oscilloscopes, the vstcm can work with RGB monitors to allow near-perfect emulation of color vector-based games.