Marketplace - RAG Agent Accelerator for Azure
Ask Domain-Specific Questions and Receive Reliable and Relevant Answers Based on Your Business Context
Solution Details
- Difficulty Level
- ADVANCED
- Solution Type
- Accelerator
- Author
- Boomi
- Published on
- Nov 8, 2024
- Last updated on
- Jan 21, 2026
Get Started
Get StartedHow it works
Securely and privately leverage a Large Language Model to interpret your business specific data.
- Use Azure AI Search for context indexing and search.
- Use Azure OpenAI Service to securely connect to a number of OpenAI models.
- Azure OpenAI Service ensures your data stays within your own Azure ecosystem.
Overview
Boomi’s Retrieval-Augmented Generation (RAG) Agent Accelerator for Azure offers the ability to ask any domain-specific question and get a reliable and relevant answer based on retrieved business context. Azure AI Search is supported for context indexing and search. This accelerator leverages Azure OpenAI Service to securely communicate with a private copy of any Azure-supported Large Language Model (LLM). The retrieved context is used to augment the user’s query to the LLM in order to achieve more accurate and less hallucinatory responses. By using Azure OpenAI Service, you can switch between Azure-supported LLMs all while keeping any internal or confidential business data within the walls of your Azure ecosystem. This enables secure communication with a private LLM that can help answer user queries about private business data that could not otherwise be answered by a generalist-trained LLM.
Applications Required
- Azure AI Search
- Azure OpenAI Service