> ## Documentation Index > Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt > Use this file to discover all available pages before exploring further. # Progress Agentic RAG > Store the index for a Progress Agentic RAG knowledge box in Pinecone. Progress Agentic RAG, formerly Nuclia, provides RAG-as-a-Service over your documents. export const PrimarySecondaryCTA = ({primaryLabel, primaryHref, primaryTarget, secondaryLabel, secondaryHref, secondaryTarget}) =>
{primaryLabel && primaryHref &&
{primaryLabel}
} {secondaryLabel && secondaryHref &&
{secondaryLabel}
}
; [Progress Agentic RAG](https://www.progress.com/agentic-rag), formerly Nuclia, is a RAG-as-a-Service platform. It indexes files and documents from internal and external sources so you can use them with large language models (LLMs). You can customize the RAG pipeline for your use case, including the retrieval and chunking strategies and the embedding model. When you create a knowledge box, you can choose to store its index in Pinecone. This is especially useful for large datasets where full-text search isn't key in the retrieval phase.