weaviate-integration

通过 GraphQL 查询与混合搜索，搭建 Weaviate 向量数据库

SKILL.md

--- frontmatter

name: weaviate-integration
description: Weaviate vector database setup with GraphQL queries and hybrid search
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Weaviate Integration Skill

Capabilities

•Set up Weaviate cluster (cloud or self-hosted)
•Define schemas with properties and vectorizers
•Implement GraphQL queries
•Configure hybrid search (vector + keyword)
•Set up multi-tenancy
•Implement batch import operations

Target Processes

•vector-database-setup
•rag-pipeline-implementation

Implementation Details

Core Operations

•Schema Management: Class definitions and properties
•Data Import: Single and batch object creation
•Vector Search: nearVector, nearText queries
•Hybrid Search: Combined vector and BM25
•GraphQL: Flexible querying with Get and Aggregate

Configuration Options

•Vectorizer modules (text2vec-, multi2vec-)
•Replication factor
•Sharding configuration
•Multi-tenancy settings
•Module configuration

Best Practices

•Design schema for query patterns
•Use appropriate vectorizer
•Enable hybrid search for better recall
•Configure proper backups
•Monitor resource usage

Dependencies

•weaviate-client
•langchain-weaviate