The password manager giant said hackers were able to 'brute-force' its two-factor system, allowing them to access customer accounts and download their password vaults.
This article was originally published on aifoss.dev --- title: 'Chroma vs Qdrant vs Weaviate 2026: RAG Database Compared' description: 'Compare Chroma, Qdrant, and Weaviate for local RAG in 2026: version snapshots, filtering tradeoffs, hybrid search, quantization, and a clear pick by use case.' pubDate: 'May 27 2026' tags: ["vectordb", "ai", "rag", "python", "opensource"] The three most commonly recommended open-source vector databases for RAG — Chroma, Qdrant, and Weaviate — are not interchangeable. Chroma is a prototyping tool that grew into a real product. Qdrant is a production workhorse written in Rust with the best filtering performance of the three. Weaviate is an enterprise-grade platform with hybrid search and the most built-in integrations. Using Weaviate when you need Chroma adds unnecessary ops overhead. Using Chroma when you need Qdrant means migrating under pressure when your collection outgrows it. Versions covered: ChromaDB v1.5.9 (May 2026), Qdrant v1.17.1 (March 2026), Weaviate v1.37 (May 2026). The quick answer Situation Best choice Local prototyping, notebooks, under 100K vectors Chroma Embedded in a Python process — no separate service Chroma Production RAG with filtering-heavy queries Qdrant Multi-user deployment, concurrent queries Qdrant Memory-constrained deployment at millions of vectors Qdrant Hybrid search (BM25 + vector in one query) Weaviate Multi-modal retrieval (text + images + audio) Weaviate Built-in re-ranking or generative AI modules Weaviate Kubernetes, team-operated, agentic MCP workflows Weaviate Getting from zero to working RAG in 10 minutes Chroma What each tool actually is ChromaDB (Apache 2.0, chroma-core/chroma ) started as a pure-Python embedded database and was rebuilt in Rust for the v1.0 release. The Rust core eliminates Python's GIL bottlenecks and delivers roughly 4× faster writes and queries compared to the pre-1.0 implementation — write throughput went from ~10K to ~40K+ vectors/second in server mode. Chroma's des
Opal, the company famous for making a fancy webcam, has pivoted to making other consumer electronics. Fueled by big investments from OpenAI and Samsung, it’s working on an audio gadget first.
Intel bet big on its new Series 3 chips, made on its new 18A process. But can it get enough of those chips out of the door to laptop manufacturers?
The women building these over-the-top, bedazzled cyberdecks aren’t in it for the glitter alone. This trend is reaching its peak at a time when people feel powerless against big tech.
The question in the title. I tried to run the same image with different formats and got different result. Also it also depends on whether image is uploaded on PC or phone, so I thought of asking about the stuff behind everything. I know very little about this stuff and would appreciate if you go into details. Thank you! submitted by /u/Neuron_Pixel_4 [link] [留言]
"The propellant farm, oxygen, liquid hydrogen, and LNG tanks are all in good shape."
The global AI race is often framed as a battle between the United States and China. But at VivaTech, Europe is expected to make the case for an entirely different model.
The global AI race is often framed as a battle between the United States and China. But at VivaTech, Europe is expected to make the case for an entirely different model.
Anthropic has invited approximately 150 more organizations to Project Glasswing.
After expanding its offerings to video with the CS-8 inspired by Kodak and Canon's retro Super 8mm film cameras, Camp Snap is returning to its roots. The Camp Snap 2 is a sequel to the company's first screenless digital point-and-shoot camera that updates the original with a slimmer design, faster performance, filters available right out […]
Meta told TechCrunch that it's considering ways to monetize the new feature, but didn't share specifics on what that could look like.
With no embedded modem, the Slate Truck is the antithesis of today's connected cars.