Take your document, cut it (cleanly!) into pieces small enough to fit into your sentence embedder's context window, and generate several embeddings that all point to the same document.

I would recommend against merging (averaging, etc.) the embeddings (unless you want a blurry idea of what your document contains), as well as feeding very large pieces of text to the embedder (some models have massive context lengths, but the result is similarly vague).