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Concept

Basic RAG

A linear architectural pattern where an LLM retrieves relevant document chunks from a vector database based on semantic similarity to a query and uses that retrieved context to generate a response. It prioritizes a direct 'Retrieve-then-Read' flow without iterative refinement or complex query transformations.

Definition

A linear architectural pattern where an LLM retrieves relevant document chunks from a vector database based on semantic similarity to a query and uses that retrieved context to generate a response. It prioritizes a direct 'Retrieve-then-Read' flow without iterative refinement or complex query transformations.

Disambiguation

Distinguish from Advanced RAG; Basic RAG lacks pre-processing (query expansion) and post-processing (re-ranking) steps.

Visual Metaphor

"An open-book exam where the student looks up a single highlighted passage in a textbook before writing their answer."

Key Tools
LangChainLlamaIndexPineconeChromaDBFAISSOpenAI Embeddings
Related Connections

Conceptual Overview

A linear architectural pattern where an LLM retrieves relevant document chunks from a vector database based on semantic similarity to a query and uses that retrieved context to generate a response. It prioritizes a direct 'Retrieve-then-Read' flow without iterative refinement or complex query transformations.

Disambiguation

Distinguish from Advanced RAG; Basic RAG lacks pre-processing (query expansion) and post-processing (re-ranking) steps.

Visual Analog

An open-book exam where the student looks up a single highlighted passage in a textbook before writing their answer.

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