Differentiate three mechanisms that are often blurred together in LLM conversations.
Place each workflow piece under the mechanism it actually belongs to. Context window Embedding search Next-token generation A pasted contract clause in the current request context A query vector lands near related policy chunks embedding The model chooses the next likely token generation Previous chat turns still included in the request Similarity search returns candidate source chunks Sampling settings change how varied the reply is LLM mechanism debugging You separated memory, search, and token generation. Name the mechanism before naming the fix.
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