> ## 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.

# Context Assembly

> Context assembly is the process of selecting, ordering, and inserting retrieved chunks into the context window the language model uses to generate a response.

*Technical implementation* · *AI Search Infrastructure*

## Definition

Context assembly is the process of selecting, ordering, and inserting retrieved chunks into the context window the language model uses to generate a response. The assembled context, combined with the query, is what the model conditions its output on.

## Why It Matters for AI Search

Context assembly is not a neutral operation. The order in which chunks are placed in the context window affects how much attention the model pays to each one — a consequence of the lost-in-the-middle position bias. A chunk that retrieves well and ranks well in reranking can still have reduced influence if it lands in the middle of a long assembled context. Content that front-loads its answer is more robust to position effects because the key claim appears near the chunk boundary rather than buried within it.

## Related Terms

<CardGroup cols={2}>
  <Card title="Context rot" href="/ai-search-glossary/context-rot" />

  <Card title="Lost in the middle" href="/ai-search-glossary/lost-in-the-middle" />

  <Card title="Reranking" href="/ai-search-glossary/reranking" />

  <Card title="Context window" href="/ai-search-glossary/context-window" />

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

## Relevant Plate Lunch Collective Services

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