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本页内容仍为英文原文,源自官方文档 tutorials/agents/hyde。中文翻译正在分批进行中。

HyDE: hypothetical document embeddings ​

Generate a hypothetical answer, then retrieve documents similar to it.

An LLM writes a hypothetical document answering the query, and that document, not the query, is embedded and used for retrieval. It works because a plausible answer sits nearer the real answers in embedding space than a question does.

说明

This example is a runnable notebook in the vectordb-recipes repository rather than a page here.

Open in ColabRun it end to end in the browser.View on GitHubRead the source.