Amazon Bedrock LLM Snap Pack
Overview
The Amazon Bedrock LLM Snap Pack facilitates seamless integration with Amazon's high-performing foundation models (FMs) in the SnapLogic platform. Use this Snap Pack Pack to integrate Amazon Bedrock's FMs from diverse sources with a unified API and leverage Amazon Bedrock's LLM capabilities, such as prompt generation, chat completions, and embedding your SnapLogic workflows.
This Snap Pack includes the following key features:
- Enables efficient generation of chat completions utilizing Amazon Titan Text and Anthropic Claude models and parameters.
- Supports tasks like embedding, chat completions, conversational exchanges, and prompt generation for enhanced language processing.
- Supports the processing and generation of content across multiple modalities, such as text, documents, and images, in a unified workflow.
- Enables you to query a pre-established Amazon Bedrock knowledge base for relevant context and utilizes models to generate responses.
- Supports advanced response configurations that enable you to customize response behavior through detailed settings, allowing for precise tuning of outputs based on your specific needs and scenarios.
- Supports the processing and generation of content across multiple modalities, converting diverse inputs into a standardized response model for seamless integration with LLMs.
This Snap Pack contains the following Snaps:
| Snaps | Description |
|---|---|
| Agent Retrieve | Retrieves information from a knowledge base based on the specified prompt. |
| Agent Retrieve and Generate | Uses the AWS Bedrock Agent to retrieve information and generate responses from a knowledge base. |
| Amazon Bedrock Converse API | Generates message responses using the specified Amazon Bedrock Converse API model and model parameters. |
| Amazon Bedrock Converse API Tool Calling | Provides a conversational interface with the ability to call external tools or services based on your interaction and context. |
| Amazon Bedrock Function Generator | Generates a tool definition in the output, which needs to be converted into a JSON schema for use with the Amazon Converse API. |
| Amazon Bedrock Function Result Generator | Formats the results generated by user-run functions into a unified structure that must be converted into the specific structure required by a particular provider when calling the tools from the LLM. |
| Amazon Titan Embedder | Generates an embedding vector based on the input data. |
| Amazon Bedrock Prompt Generator | Generates the augmented user prompt as per the specified prompt template. |
| Amazon Titan Chat Completions | Generates chat completions using the specified Amazon Titan Text model and model parameters. |
| Anthropic Claude on AWS Chat Completions | Generates chat completions using the specified Anthropic Claude model and model parameters. |
| Anthropic Claude on AWS Messages | Generates message responses using the specified Anthropic Claude model and model parameters. |
| Amazon Bedrock Multimodal Content Generator | Generates multimodal content for the user prompt with Amazon Bedrock. |
| Invoke Agent | Invokes the Amazon Bedrock Invoke Agent operation on the Amazon Bedrock service. |