llm orchestrationQuick Start ↓
Get Started with RAG
A RAG package for Forge ML to enhance AI applications with retrieval-augmented generation.
Getting Started
1
Read the official documentation
The RAG team maintains comprehensive docs that cover installation, configuration, and common patterns.
Open RAG Docs↗2
3
Review strengths, tradeoffs, and alternatives
Our full tool profile covers RAG's strengths, weaknesses, pricing, and how it compares to alternatives.
View full profile→Best For
Teams building RAG apps who need a robust integration with Forge ML
Developers working on projects that require local deployment and control over the infrastructure
Data scientists looking to enhance their models with retrieval-augmented generation capabilities