Build Cross-Cloud RAG Workflow with ChromaDB on Azure and AWS

This article details how to build a cross-cloud Retrieval-Augmented Generation (RAG) workflow using ChromaDB, a vector database, across Azure and AWS. It focuses on enhancing Large Language Model (LLM) capabilities by integrating external data sources. The guide aims to provide practical steps for developers looking to implement such a system in a multi-cloud environment. AI

IMPACT Provides a technical guide for developers on integrating LLMs with external data via RAG in a multi-cloud setup.

RANK_REASON The article describes a technical implementation guide for a specific software stack, positioning it as a tool for developers.

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• AWS
• Azure
• ChromaDB
• Large Language Model
• Retrieval-Augmented Generation

• infra
• product

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