This free GitHub repository helps coding tools like Claude Code, Cursor, GitHub Copilot, VS Code add-ons, and Gemini CLI create exact, ready-to-use code for Weaviate tasks without guessing or using old info.
The AI field saw key updates this week in developer tools, global events, and huge funding news that show how the industry is growing fast. Here are some top news updates from the AI world today!
Weaviate Launches Agent Skills for Better AI Coding
Weaviate, a top open-source vector database for AI, released Agent Skills on February 17, 2026. This free GitHub repository helps coding tools like Claude Code, Cursor, GitHub Copilot, VS Code add-ons, and Gemini CLI create exact, ready-to-use code for Weaviate tasks without guessing or using old info.
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Weaviate Agent Skills gives ready modules that these tools can call right away with simple slash commands, skipping messy code writing. The main modules in /skills/weaviate cover basic database jobs: managing setups (checking layouts, making or removing data groups, getting details), handling data flow (loading from CSV, JSON, JSONL files with auto-layout guessing, plus making sample data), smart search linked to Weaviate's Query Agent for everyday language questions, and search types like full-meaning match, word-based, or mixed searches you can tune for best results.
Alongside these, /skills/weaviate-cookbooks offer step-by-step guides for full apps. These include chatbots using Query Agent with FastAPI for the backend and Next.js for the frontend; PDF question-answering setups using ModernVBERT for multi-part data matching and Ollama or Qwen3-VL for creating answers; simple to complex question-answering systems with question breaking, re-sorting results, and searching many data groups; and improved agent setups using DSPy with saved info, custom helpers, and repeated tweaks.
Getting started is easy for quick work: run npx skills add weaviate/agent-skills or add through tool stores, then connect to a free Weaviate Cloud Sandbox (14-day test clusters). The tools spot six main commands automatically, like /weaviate:ask for answers with sources, /weaviate:query for plain-language searches, /weaviate:search for mixed or meaning-based lookups, /weaviate:collections for data group lists, /weaviate:explore for data counts and examples, and /weaviate:fetch for pulling items or filtering them.
Weaviate shared the news on X, noting Agent Skills gives tools the right details to cut debug time, following the Query Agent's full release in September 2025. First users say it speeds up question-answering app building by three times and makes real-world use more dependable, making Weaviate a must-have base for smart AI systems.
Geneva to Host 2027 AI Summit
Swiss President Guy Parmelin said at New Delhi’s India AI Impact Summit 2026 that Geneva will hold the 2027 Global AI Summit. It will team up with the UAE for their 2028 event, backed by leaders like India's Prime Minister Narendra Modi, showing stronger worldwide teamwork on AI rules.
Parmelin pushed for clear rules that follow global laws, fair use, and shared benefits. The summit focuses on three areas—People (training, access for all), Planet (green practices, right choices), and Progress (new ideas, shared rules)—to use AI for society's long-term good while cutting dangers like unfair results or job losses.
Key results could cover AI safety checks, sharing data across borders, and badges for risky uses. This builds on past events, with Geneva's neutral spot perfect for linking rich and developing countries on controls.
Nvidia Close to $30 Billion OpenAI Deal
Nvidia is about to lock in a $30 billion investment in OpenAI, taking over from an earlier $100 billion hardware plan. This helps OpenAI's big push to raise over $100 billion at a value of $730 billion to $830 billion—the biggest ever in tech.
Most money will buy Nvidia GPUs to grow computing power, fixing limits in building next big models like improved GPT versions. With chip shortages, this gives OpenAI first pick of Nvidia's newest Blackwell and Rubin chips for giant setups handling images, text, and smart agents.
The deal ramps up the AI race, where computing power is the hardest to get. It shows trends of linking hardware and software closely, as OpenAI uses Nvidia chips while building custom ones and growing business tools through fast APIs and helpers.
Bigger Picture for AI Growth
These updates show AI heading in clear directions: Weaviate's Agent Skills makes advanced data matching easy for builders of question-answering and smart systems; the Geneva news pushes worldwide rules amid split regulations; and the Nvidia-OpenAI cash move locks in hardware-software teamwork for top models.
Together, they mark a change from focus on just models to full-system strength—solid bases, safety guides, and quick building. As rivalry covers all AI parts, from small companies to countries, the key is tools that work together, smart growth, and rules that include everyone to keep progress going.
