Qdrant Cloud Inference unifies dense, sparse, and image embeddings with vector search to simplify workflows and accelerate AI ...

Zilliz is looking to become the preferred vector database choice for LLM-powered applications through strategic enhancements and a cost-effective new pricing model that now includes a free tier. The ...

Zilliz has announced its latest research on vector databases was featured at the 48th International Conference on Very Large Databases (VLDB 2022). The research paper, titled “Manu: A Cloud Native ...

Liu offered clarity on the relationship between unstructured data, vectors, and vector databases; ultimately, the surge of unstructured data—or any data that does not conform to a predefined data ...

Here we present a supervised classification model utilizing support vector machines (SVMs) for the analysis of transcriptomic data readily obtained from a peripheral blood specimen.

To put it simply, if AI is the car that is driving the future of innovation, data is the energy source, and how we store that data matters.

With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

Monte Carlo Data’s observability-centric updates, particularly support for popular vector databases, come at a time when enterprises are going all in on generative AI.