This graph represents the core functionality of a Retrieval Augmented Generation (RAG) system. The main flow involves an orchestrator that manages the interaction between a retriever, which fetches relevant documents, and a generator, which synthesizes a response based on the retrieved information and the user's query. The purpose is to provide accurate and contextually rich answers by leveraging external knowledge bases.

Components

RAG Orchestrator

Manages the overall RAG process, coordinating between the retriever and generator.

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Retriever

Fetches relevant documents or information based on the input query.

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Generator

Generates a coherent and informative response using the retrieved context and the original query.

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Document Processor

Handles the processing and indexing of documents for the retriever.

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