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

Matryoshka embeddings ​

Nested, variable-size embeddings with LanceDB and LlamaIndex.

A RAG pipeline built on Matryoshka embeddings with LlamaIndex. The embeddings nest, so one model serves several dimensionalities: store the full vector and retrieve with a truncated one when the cheaper comparison is good enough.

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.