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...
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....
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...
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...
Reachy Mini is an open-source robot from Pollen Robotics and Hugging Face, run by a Raspberry Pi with 4 GB of RAM. We wanted it to do what a good host does: greet you by name the second time you walk...
A number in a financial report needs its row, column, and unit to mean anything. A chart needs its labels. When you build search over PDFs, that context is part of what you want to retrieve....
Classification is one of the oldest problems in machine learning. Unlike modern decoding transformers, most classification models were non-autoregressive by nature. Before Jev, the common approaches...
Google’s new EmbeddingGemma 2 can run on a phone. The model travels light. The vectors need their own suitcase. At 10 million documents, full-size float32 vectors alone take 30.7 GB of RAM. We...
As query traffic grows, so does the compute bill for embedding it. On a low-power device, a large model may not fit in memory. A smaller query model could reduce that cost, but switching usually...
We rewrote cross-encoder inference in Rust, benchmarked it against Python, and on a small reranking model it came out only 1.1x faster at the median. That is not a sign of a slow Rust implementation....