GPT-RAG - AI Developer Tools Tool

Overview

GPT-RAG is an enterprise-grade Retrieval-Augmented Generation (RAG) accelerator that integrates Azure Cognitive Search with Azure OpenAI to power ChatGPT-style and Q&A experiences. It provides a modular architecture — data ingestion, an orchestrator with selectable workflows, and customizable front-end interfaces — for deployment in secure enterprise environments.

Key Features

• Integrates Azure Cognitive Search and Azure OpenAI for retrieval-augmented generation
• Modular architecture covering ingestion, orchestration, and front-end layers
• Orchestrator choices: Semantic Kernel functions or AutoGen-driven agentic workflows
• Data ingestion pipelines for indexing diverse document sources
• Customizable front-end interfaces for chat and Q&A experiences
• Designed for secure, enterprise deployment patterns

Ideal Use Cases

• Power ChatGPT-style conversational and Q&A applications
• Build enterprise knowledge assistants that query internal data
• Prototype retrieval-augmented workflows on Azure
• Deploy secure internal search-and-answer applications

Getting Started

• Clone the GPT-RAG GitHub repository
• Provision an Azure Cognitive Search instance
• Provision an Azure OpenAI resource and obtain API keys
• Configure environment variables and deployment settings
• Ingest documents into the Azure Cognitive Search index
• Select orchestrator: Semantic Kernel or AutoGen workflows
• Customize the front-end and test locally
• Deploy the solution to your Azure environment

Pricing

Not disclosed in the repository; actual costs depend on Azure Cognitive Search, Azure OpenAI, and your chosen deployment resources.

Limitations

• Requires Azure Cognitive Search and Azure OpenAI subscriptions
• Accelerator requires deployment and configuration; not a fully managed service
• Repository does not include pricing or SLA details

Key Information

• Category: Developer Tools
• Type: AI Developer Tools Tool