> ## Documentation Index
> Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Ingestion Pipeline

> An ingestion pipeline is the full sequence of steps that prepares content for retrieval: crawling, parsing, cleaning, chunking, embedding, and storing in the vector index.

*Technical implementation* · *AI Search Infrastructure*

## Definition

An ingestion pipeline is the full sequence of steps that prepares content for retrieval: crawling, parsing, cleaning, chunking, embedding, and storing in the vector index. Problems at any stage affect retrieval even if the content and retrieval model are both good.

## Why It Matters for AI Search

The ingestion pipeline is where technical failures become invisible citation failures. Content that renders in JavaScript but is not server-rendered may not be parsed. Content chunked at the wrong boundaries may not embed coherently. Content that is not re-ingested after updates may retrieve from a stale version. Understanding the ingestion pipeline explains why technical SEO and AI citation optimization are not separate disciplines.

## Related Terms

<CardGroup cols={2}>
  <Card title="Chunking" href="/ai-search-glossary/chunking" />

  <Card title="Embedding" href="/ai-search-glossary/embedding" />

  <Card title="Retrieval pipeline" href="/ai-search-glossary/retrieval-pipeline" />

  <Card title="Indexability" href="/ai-search-glossary/indexability" />

  <Card title="Machine readability" href="/ai-search-glossary/machine-readability" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[AI SEO](https://www.platelunchcollective.com/services/ai-seo)  [Citation-Ready Content](https://www.platelunchcollective.com/services/citation-ready-content)