GenAI App Builder

Overview

SnapLogic’s GenAI App Builder enables you to build Language Learning Models (LLM) powered custom co-pilots based on your use cases. Use this no-code solution to accelerate and automate your business workflows.

This article describes how to use GenAI App Builder to build your AI application, which can be used to answer employees' HR-related queries, review legal documents, summarize companies' quarterly results, and more.

Support Matrix


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
	Azure OpenAI LLM Snap Pack	Azure OpenAI	Integrates OpenAI's language learning models (LLM) with Azure OpenAI Service Supports prompt generation, chat completions and embeddings
	OpenAI LLM Snap Pack	OpenAI	Integrates with OpenAI's language learning models (LLM) within the SnapLogic Platform Supports prompt generation, chat completions and embeddings
Vector Databases	Pinecone Snap Pack	Pinecone	Queries records in the Pinecone database Processes the vector from the input document
	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 embed and store 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.

Prerequisites

Valid Amazon Bedrock Account, Azure OpenAI API Key Account, OpenAI API Key Account and Pinecone Account in SnapLogic.
Access to the SnapLogic Public Pattern Library either on the Global control plane or the EMEA control plane

Summary steps

Configure your Amazon Bedrock Account, Azure OpenAI API Key Account, OpenAI API Key Account, and Pinecone Account in SnapLogic.
Launch the Indexer and Retriever pattern pipelines from the Public Pattern Library.
Modify the Snap Settings of the pattern pipelines' based on your requirements.
Validate and test the pipelines.
Launch the chat interface and prompt.