AgentCreator

SnapLogic AgentCreator is a powerful new system empowering enterprises to build LLM-powered agents, assistants and applications that augment human capabilities and integrate AI into any integration workflow or data pipeline. By combining dynamic iteration with real-time generative decision-making, SnapLogic’s AgentCreator enables you to design, deploy, and scale AI agents that augment human capabilities, streamline complex workflows, and unlock new business opportunities—all within a single, secure platform. Use this no-code solution to accelerate and automate your business workflows.

Support Matrix

AgentCreator levarages Snaps to connect to various vector databases and LLMs, in addition to providing utilities to create your GenAI apps. The following matrix lists the supported functionality by Snap Pack.


Component	Snap Pack	Vendor	Description
LLMs	Amazon Bedrock LLM Snap Pack	Amazon Bedrock	Integrates with diverse Amazon Foundation Models (FMs) Supports prompt generation, chat completions, and embeddings Enables conversational interactions Supports generation, retrieval,and invocation Enables use of tool calling and function generation
	Azure OpenAI LLM Snap Pack	Azure OpenAI	Integrates OpenAI's Large Language Models (LLM) with Azure OpenAI Service Supports prompt generation, chat completions, and embeddings Enables use of tool calling and function generation
	OpenAI LLM Snap Pack	OpenAI	Integrates with OpenAI's Large Language Models (LLM) within the SnapLogic Platform Supports prompt generation, chat completions, and embeddings Enables use of tool calling and function generation Creates and runs thread after assigning the assistant to respond to the new thread Generates multimodal content for the user prompt Retrieves and lists all vector store files
	Google GenAI LLM Snap Pack	Google GenAI LLM	Integrates with Google Gemini's Large Language Models (LLM) within the SnapLogic Platform Supports prompt generation, text generation, and embeddings Enables use of tool calling and function generation
Vector Databases	Pinecone Snap Pack	Pinecone	Queries, inserts, and updates records in the Pinecone database Processes the vector from the input document
	OpenSearch Snap Pack	OpenSearch	Performs similarity searches Supports Approximate Nearest Neighbor (ANN) queries Supports Range queries
	MongoDB Atlas Vector Search	MongoDB	Performs similarity searches Supports Approximate Nearest Neighbor (ANN) queries Supports Range queries
	AlloyDB - Vector Search	AlloyDB	Performs similarity searches Supports Approximate Nearest Neighbor (ANN) queries Supports Range queries
	PostgreSQL - Vector Search	PostgreSQL	Performs similarity searches Supports Approximate Nearest Neighbor (ANN) queries Supports Range queries
	Snowflake - Vector Search	Snowflake	Performs similarity searches Supports Approximate Nearest Neighbor (ANN) queries Supports Range queries
Utilities	LLM Utilities Snap Pack	-	Enables custom knowledge-context chunks with defined properties. Facilitates embedding and stores result chunks in the vector database to optimize data organization in subsequent queries
	HTML Parser	-	Parses HTML into text
	Markdown Parser	-	Parses Markdown into text
	HTML to Markdown Converter	-	Converts HTML into Markdown
	Adobe PDF Snap Pack	-	Extract: Extracts text, table, and figures from a PDF file. OCR: Adds a scannable layer on top of an image-based PDF file. Adobe Account: Authenticates with Adobe APIs using the specified Client ID and Client secret.
	Unstructured Snap Pack	-	Partition API: Extracts structured data from raw unstructured documents using the Unstructured API and transforms it into structured data. Unstructured API Account: Authenticates with Unstructured API using the specified credentials.