Weaviate, the leading open-source AI database, has launched Weaviate Agent Skills, an innovative open-source repository designed to equip popular AI coding agents—such as Claude Code, Cursor, GitHub Copilot, VS Code, and Gemini CLI—with precise, reliable tools for generating production-grade code targeting Weaviate workflows. This release builds on the general availability of Weaviate’s Query Agent and directly addresses common challenges like hallucinations and inaccurate code generation when AI agents interact with vector databases.
The repository is organized into two main sections for comprehensive support across the development lifecycle. The /skills/weaviate directory contains modular scripts for essential operations, including schema inspection, collection creation, metadata retrieval, bulk data imports from CSV/JSON/JSONL, synthetic data generation, and advanced retrieval modes powered by the Query Agent. These granular tools ensure AI agents execute Weaviate-specific tasks with precision and consistency.
The /skills/weaviate-cookbooks folder delivers complete blueprints for real-world applications. Examples include FastAPI + Next.js chatbots leveraging Query Agent, multimodal PDF RAG pipelines using ModernVBERT embeddings with Ollama or Qwen3-VL generation, basic to advanced RAG implementations featuring decomposition and reranking, and DSPy-optimized agents with custom tools and persistent memory. These cookbooks serve as reliable starting points for scalable, production-grade AI systems.
Agent Skills introduces six powerful slash commands that AI coding agents can discover and execute automatically:
These commands simplify complex interactions, for example: "/weaviate:search query 'best laptops' collection 'Products' type 'hybrid' alpha '0.7'" delivers balanced, high-quality retrieval.
"Weaviate Agent Skills bridges the gap between high-velocity AI coding and reliable infrastructure, letting developers build sophisticated AI systems without debugging agent hallucinations," said Bob van Luijt, Co-Founder and CEO of Weaviate.
Setup is streamlined: install via a single command such as npx skills add weaviate/agent-skills, configure with Weaviate Cloud credentials from a free Sandbox, and run /weaviate:quickstart for guided onboarding. This launch extends Weaviate’s 2025 advancements, including enhanced SDKs, multi-turn support, streaming, and expanded client libraries.
By providing verified, modular tools and production patterns, Weaviate Agent Skills significantly reduces development friction, enabling faster, more reliable iteration for AI-powered applications built on vector databases.
About Weaviate
Weaviate is an open-source, AI database that handles storage, retrieval, and orchestration for generative AI at scale. Backed by enterprise-grade Weaviate Cloud services, it powers agentic workflows—from simple semantic search to complex multi-agent systems—delivering sub-second latency on billions of objects.
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