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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.
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