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ETL

In RAG pipelines, ETL refers to the ingestion workflow that extracts unstructured data from varied sources, transforms it through cleaning, chunking, and embedding generation, and loads the resulting vectors into a high-performance vector database.

Definition

In RAG pipelines, ETL refers to the ingestion workflow that extracts unstructured data from varied sources, transforms it through cleaning, chunking, and embedding generation, and loads the resulting vectors into a high-performance vector database.

Disambiguation

Focuses on semantic preservation and vectorization rather than relational normalization or transactional data movement.

Visual Metaphor

"An industrial wood chipper and sorter: raw timber (unstructured files) is shredded into uniform mulch (chunks) and stored in color-coded bins (vector space) for easy garden coverage (retrieval)."

Key Tools
Unstructured.ioLangChain (Document Loaders)LlamaIndexApache AirflowPyMuPDF
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Conceptual Overview

In RAG pipelines, ETL refers to the ingestion workflow that extracts unstructured data from varied sources, transforms it through cleaning, chunking, and embedding generation, and loads the resulting vectors into a high-performance vector database.

Disambiguation

Focuses on semantic preservation and vectorization rather than relational normalization or transactional data movement.

Visual Analog

An industrial wood chipper and sorter: raw timber (unstructured files) is shredded into uniform mulch (chunks) and stored in color-coded bins (vector space) for easy garden coverage (retrieval).

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