Package com.google.genkit.plugins.weaviate

package com.google.genkit.plugins.weaviate

Weaviate plugin for Genkit providing vector database integration for RAG workflows.

This plugin provides:

• Weaviate vector similarity search for retrieval
• Document indexing with automatic embedding generation
• Support for both local and Weaviate Cloud instances
• Configurable distance measures (cosine, L2, dot product)

Example usage:

 Genkit genkit = Genkit.builder()
     .plugin(GoogleGenAIPlugin.create(apiKey))
     .plugin(
         WeaviatePlugin.builder()
             .host("localhost")
             .port(8080)
             .addCollection(
                 WeaviateCollectionConfig.builder()
                     .name("documents")
                     .embedderName("googleai/text-embedding-004")
                     .build())
             .build())
     .build();
 

Class	Description
WeaviateCollectionConfig	Configuration for a Weaviate collection (class) in the plugin.
WeaviateCollectionConfig.Builder	Builder for WeaviateCollectionConfig.
WeaviateCollectionConfig.DistanceMeasure	Distance measure options for vector similarity search.
WeaviatePlugin	Weaviate plugin for Genkit providing vector database integration.
WeaviatePlugin.Builder	Builder for WeaviatePlugin.
WeaviateVectorStore	Weaviate vector store implementation for RAG workflows.