Explore the reasons why, despite its open-source benefits, Inkscape hasn't fully replaced Illustrator for this designer, ...

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 ...

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

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 ...

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.

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.