AI-native vector database startup Weaviate B.V. is expanding into artificial intelligence development with the launch of a new “workbench” that consists of various cloud-based applications and ...

Vector embeddings represent data in multi-dimensional space, with specialized models like CLIP, GloVe, and Wav2Vec generating embeddings for images, text, and audio, respectively.

Vector databases are ideal for applications where the goal is to find data points similar to a given vector. For example, a vector database can find images similar to a given image, or text ...

The pgai Vectorizer builds upon Timescale’s existing vector database technologies, launched in June 2024. The company’s pgvectorscale extension is based on the open-source pgvector vector ...

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.

Image Credits: Qdrant Image Credits:Qdrant — Qdrant founders Since the turn of the year, we’ve also seen Index Ventures lead a $9.5 million seed round into Superlinked, a platform that ...

(Image: iX / erstellt mit ChatGPT) Jul 4, 2024 at 4:30 pm CEST 3 min. read Developer ...

Founded out of Berlin in 2021, Qdrant is targeting AI software developers with an open source vector search engine and database for unstructured data, which is an integral part of AI application ...