Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...
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I built a hybrid AI setup that keeps my data local but lets me use Claude for hard jobs
Self-hosting most of my AI jobs keeps my data secure.
The hard part of running an open-weights model locally was never the model. It was everything before it, reading VRAM specs, guessing which quantization fits, setting context length and GPU layer ...
Vector database company Qdrant has released a dataset with 10 billion documents to help put large-scale vector search systems through their paces. Benchmarking these systems isn’t easy, particularly ...
原创 最新推荐文章于 2026-09-03 22:38:40 发布 · 391 阅读 在 RAG（检索增强生成）和 AI 应用爆发的当下，向量数据库已经成为技术栈中的标配组件。Qdrant 作为一款用 Rust 编写的高性能开源向量数据库 ...
Vector database specialist Qdrant on Tuesday launched Fineweb-10B, a public dataset for enterprises to use when benchmarking their vector retrieval capabilities. The dataset uses information from ...
Burmese pythons are an invasive species causing significant harm to the South Florida ecosystem. The annual Florida Python Challenge encourages hunters to help control the growing python population.
Running a capable 27B model as a local AI coding agent used to mean setting up inference servers, configuring endpoints, and connecting everything manually. With Qwen3.8-27B, Ollama, and OpenCode, the ...
A local-first document ingestion and retrieval pipeline for turning mixed-format files into structured Markdown for Obsidian and searchable chunks in Qdrant. The project is intended for researchers, ...
Qdrant is announcing the release of Qdrant 1.19.0, offering a new TurboQuant storage format that cuts vector storage. In version 1.19, Qdrant is introducing the new Turbo4 datatype that stores vectors ...
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