Weaviate questions are easy to answer from stale memory or from patterns borrowed from a different vector database. Use this skill to ground answers in the official Weaviate documentation and return the closest authoritative page instead of generic vector-search advice.

When to Use

Use this skill when the request is about:

Weaviate concepts: collections, objects, properties, and vector indexes
Creating and managing collections, schema design, and CRUD operations on objects
Similarity search, hybrid search (vector plus keyword), and generative search (RAG)
Filtering, aggregations, and the REST, GraphQL, or gRPC APIs
Model provider integrations (embedding and generative modules) and vectorizer configuration
Multi-tenancy, replication, and sharding architecture
Client libraries (Python, TypeScript/JavaScript, Java, Go)
Deployment: Docker, Kubernetes, embedded Weaviate, and Weaviate Cloud
Performance tuning, vector quantization, and best practices

Do not use this skill for:

weaviate-docs

When to Use