Weaviate Client Libraries

Overview

Weaviate provides official client libraries in multiple languages, offering both REST and GraphQL APIs for vector search, hybrid queries, and AI-powered generative search.

Supported Languages

Python

pip install weaviate-client

• Full feature support
• Type hints
• Async operations
• Batch imports

TypeScript/JavaScript

npm install weaviate-ts-client

• Browser and Node.js
• Promise-based
• TypeScript definitions

Go

go get github.com/weaviate/weaviate-go-client/v4

• Native Go implementation
• Idiomatic API

Java

<dependency>
    <groupId>io.weaviate</groupId>
    <artifactId>client</artifactId>
</dependency>

Key Features

• Vector search
• Hybrid search (vector + keyword)
• Generative search (RAG)
• GraphQL queries
• Batch operations
• Multi-tenancy support
• Named vectors

Example Usage

import weaviate

client = weaviate.Client("http://localhost:8080")

# Vector search
results = (
    client.query
    .get("Article", ["title", "content"])
    .with_near_text({"concepts": ["AI"]})
    .with_limit(10)
    .do()
)

# Hybrid search
results = (
    client.query
    .get("Article", ["title"])
    .with_hybrid(query="AI", alpha=0.5)
    .do()
)

Pricing

Free and open-source. Weaviate Cloud pricing separate.