Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations of ...

Vector database startup Pinecone Systems Inc. today announced a new, high-performance deployment option for customers that need to support the most demanding enterprise use cases. It’s called ...

Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards. Qdrant has released Qdrant 1.16, an update of the Qdrant ...

Qdrant, the open-source vector search engine used by enterprises and AI-native teams, announced Tiered Multitenancy—as part of the v1.16 release—a new capability that helps organizations isolate heavy ...

First solution to promote growing tenants into dedicated shards inside one vector search engine environment. Delivers predictable performance, lowers infrastructure costs, and simplifies scaling for ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

Casper is a high-performance Vector Search Database, perfectly suited for high-load search systems and AI applications (RAG). It provides a robust and scalable solution to store, search, and manage ...

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BM25 is a probabilistic ranking algorithm that calculates relevance scores between queries and documents based on term frequency and inverse document frequency. This library's implementation produces ...

On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a ...