Qdrant - Vector Database

With Qdrant 1.20, we shipped two main features that can make your search cheaper and faster: two new quantization-native datatypes (turbo8 and turbo16) and advanced metadata indexing for nested fields. We measured the performance and cost improvements so you don’t have to, and in...

Cohere released Embed 5, a family of embedding models. The family has a quality-focused model, Embed 5 Pro (embed-v5.0-pro), and a lighter one, Embed 5 Fast (embed-v5.0-fast). Both accept text and images, support 100+ languages, and share an embedding space.

Qdrant 1.20.0 is out! Let’s look at the main features for this version:

BM25 on Full-Text Indexes and Code Search: Rank by BM25 straight from your payload text, with no embeddings to generate. Plus, better code search with a ...

Every retrieval pipeline starts with the same call: how big is a chunk? Too small, and a chunk loses its context. Too big, and the embedding model cuts it off.

DMIS Lab’s UltraBERT-Embed-150M moves that cutoff to 32K tokens. It’s a 151M-parameter dense embeddi...

Poliscope makes Germany’s local political data searchable in one place. Germany has about 11,000 municipalities, and almost every one of them publishes through a council information system (in German, a Ratsinformationssystem). That is where agendas, minutes, proposals, and planning docume...