Uses of Package
com.google.genkit.ai
Packages that use com.google.genkit.ai
Package
Description
This package provides types for the Genkit agents feature, including enums and models for agent
state snapshots, agent execution lifecycle, and agent-related operations.
Telemetry module for Genkit Java SDK.
Chroma vector database integration for Genkit.
Firestore vector search retriever and indexer components.
Middleware plugin for Genkit providing higher-level generation building blocks.
Milvus vector database integration for Genkit.
MongoDB integration for Genkit.
Pinecone plugin for Genkit providing vector database integration.
PostgreSQL plugin for Genkit providing vector database integration using pgvector extension.
Qdrant vector database integration for Genkit.
Weaviate plugin for Genkit providing vector database integration for RAG workflows.
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Classes in com.google.genkit.ai used by com.google.genkitClassDescriptionDocument represents a document for use with embedders and retrievers.Embedder is an action that generates embeddings from documents.EmbedResponse contains the embeddings generated from documents.Options for text generation requests.Indexer is an action that indexes documents into a vector store.Request to index documents into a vector store.Response from an indexer operation.Configuration for defining an interrupt tool.Model is the interface for AI model implementations.ModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.Prompt is a template that generates ModelRequests from input variables.Retriever is an action that retrieves documents based on a query.RetrieverRequest contains a query for document retrieval.RetrieverOptions contains options for retrieval.RetrieverResponse contains documents retrieved from a query.Tool represents a function that can be called by an AI model.
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Classes in com.google.genkit.ai used by com.google.genkit.agentClassDescriptionGenerationConfig contains configuration for model generation.Tool represents a function that can be called by an AI model.
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Classes in com.google.genkit.ai used by com.google.genkit.aiClassDescriptionCandidate represents a single model response candidate.Document represents a document for use with embedders and retrievers.Embedder is an action that generates embeddings from documents.Builder for Embedder.EmbedderInfo contains metadata about an embedder's capabilities.EmbedderCapabilities describes what an embedder can do.EmbedRequest contains documents to embed.EmbedResponse contains the embeddings generated from documents.Embedding represents a single embedding vector.FinishReason indicates why the model stopped generating.GenerateAction is a utility action that provides a unified interface for generating content from AI models.High-level options for the generate action, representing the generate request before model and tool resolution.Options for text generation requests.Builder for GenerateOptions.GenerationConfig contains configuration for model generation.Builder for GenerationConfig.Indexer is an action that indexes documents into a vector store.Builder for Indexer.Request to index documents into a vector store.Response from an indexer operation.Configuration for defining an interrupt tool.Builder for InterruptConfig.Media represents media content in a message part.Message represents a message in a conversation with a generative AI model.Builder for Message.ModelInfo contains metadata about a model's capabilities.ModelCapabilities describes what a model can do.ModelRequest represents a request to a generative AI model.Builder for ModelRequest.ModelResponse represents a response from a generative AI model.Builder for ModelResponse.ModelResponseChunk represents a streaming chunk from a generative AI model.OutputConfig contains configuration for model output generation.OutputFormat specifies the format for model output.Part represents a part of a message content, which can be text, media, tool request, or tool response.Prompt is a template that generates ModelRequests from input variables.Builder for Prompt.Options for resuming after an interrupt.Builder for ResumeOptions.Retriever is an action that retrieves documents based on a query.Builder for Retriever.RetrieverRequest contains a query for document retrieval.RetrieverOptions contains options for retrieval.RetrieverResponse contains documents retrieved from a query.Role represents the role of a message sender in a conversation.Tool represents a function that can be called by an AI model.Builder for Tool.ToolDefinition describes a tool that can be used by a model.ToolRequest represents a request from the model to invoke a tool.ToolResponse represents a response from a tool invocation.Usage represents token usage statistics from a model response.
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Classes in com.google.genkit.ai used by com.google.genkit.ai.agentClassDescriptionMessage represents a message in a conversation with a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.Part represents a part of a message content, which can be text, media, tool request, or tool response.
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Classes in com.google.genkit.ai used by com.google.genkit.ai.middlewareClassDescriptionHigh-level options for the generate action, representing the generate request before model and tool resolution.ModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.Part represents a part of a message content, which can be text, media, tool request, or tool response.Tool represents a function that can be called by an AI model.ToolRequest represents a request from the model to invoke a tool.
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Classes in com.google.genkit.ai used by com.google.genkit.ai.telemetryClassDescriptionModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.Usage represents token usage statistics from a model response.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.anthropicClassDescriptionModel is the interface for AI model implementations.ModelInfo contains metadata about a model's capabilities.ModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.awsbedrockClassDescriptionEmbedder is an action that generates embeddings from documents.EmbedRequest contains documents to embed.EmbedResponse contains the embeddings generated from documents.Model is the interface for AI model implementations.ModelInfo contains metadata about a model's capabilities.ModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.chromaClassDescriptionEmbedder is an action that generates embeddings from documents.Request to index documents into a vector store.Response from an indexer operation.RetrieverRequest contains a query for document retrieval.RetrieverResponse contains documents retrieved from a query.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.compatoaiClassDescriptionEmbedder is an action that generates embeddings from documents.EmbedRequest contains documents to embed.EmbedResponse contains the embeddings generated from documents.Model is the interface for AI model implementations.ModelInfo contains metadata about a model's capabilities.ModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.firebase.retrieverClassDescriptionEmbedder is an action that generates embeddings from documents.Indexer is an action that indexes documents into a vector store.Request to index documents into a vector store.Response from an indexer operation.Part represents a part of a message content, which can be text, media, tool request, or tool response.Retriever is an action that retrieves documents based on a query.RetrieverRequest contains a query for document retrieval.RetrieverResponse contains documents retrieved from a query.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.googlegenaiClassDescriptionEmbedder is an action that generates embeddings from documents.EmbedRequest contains documents to embed.EmbedResponse contains the embeddings generated from documents.Model is the interface for AI model implementations.ModelInfo contains metadata about a model's capabilities.ModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.localvecClassDescriptionDocument represents a document for use with embedders and retrievers.Embedder is an action that generates embeddings from documents.Indexer is an action that indexes documents into a vector store.Retriever is an action that retrieves documents based on a query.RetrieverRequest contains a query for document retrieval.RetrieverResponse contains documents retrieved from a query.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.mcp
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.middlewareClassDescriptionModelResponse represents a response from a generative AI model.Tool represents a function that can be called by an AI model.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.milvusClassDescriptionEmbedder is an action that generates embeddings from documents.Request to index documents into a vector store.Response from an indexer operation.RetrieverRequest contains a query for document retrieval.RetrieverResponse contains documents retrieved from a query.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.mongodbClassDescriptionEmbedder is an action that generates embeddings from documents.Request to index documents into a vector store.Response from an indexer operation.RetrieverRequest contains a query for document retrieval.RetrieverResponse contains documents retrieved from a query.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.ollamaClassDescriptionModel is the interface for AI model implementations.ModelInfo contains metadata about a model's capabilities.ModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.openaiClassDescriptionEmbedder is an action that generates embeddings from documents.EmbedRequest contains documents to embed.EmbedResponse contains the embeddings generated from documents.Model is the interface for AI model implementations.ModelInfo contains metadata about a model's capabilities.ModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.pineconeClassDescriptionEmbedder is an action that generates embeddings from documents.Request to index documents into a vector store.Response from an indexer operation.RetrieverRequest contains a query for document retrieval.RetrieverResponse contains documents retrieved from a query.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.postgresqlClassDescriptionEmbedder is an action that generates embeddings from documents.Request to index documents into a vector store.Response from an indexer operation.RetrieverRequest contains a query for document retrieval.RetrieverResponse contains documents retrieved from a query.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.qdrantClassDescriptionEmbedder is an action that generates embeddings from documents.Request to index documents into a vector store.Response from an indexer operation.RetrieverRequest contains a query for document retrieval.RetrieverResponse contains documents retrieved from a query.
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Classes in com.google.genkit.ai used by com.google.genkit.plugins.weaviateClassDescriptionEmbedder is an action that generates embeddings from documents.Indexer is an action that indexes documents into a vector store.Request to index documents into a vector store.Response from an indexer operation.Retriever is an action that retrieves documents based on a query.RetrieverRequest contains a query for document retrieval.RetrieverResponse contains documents retrieved from a query.
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Classes in com.google.genkit.ai used by com.google.genkit.promptClassDescriptionOptions for text generation requests.GenerationConfig contains configuration for model generation.ModelRequest represents a request to a generative AI model.ModelResponse represents a response from a generative AI model.ModelResponseChunk represents a streaming chunk from a generative AI model.Prompt is a template that generates ModelRequests from input variables.