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 # Late Chunking of Short Chunks in Long-Context Embedding Models
 
-[**Blog post**](https://jina.ai/news/late-chunking-in-long-context-embedding-models) | [**ArXiv paper**](https://arxiv.org/abs/2409.04701)
+[**Blog part 1**](https://jina.ai/news/late-chunking-in-long-context-embedding-models) | [**Blog part 2**](https://jina.ai/news/what-late-chunking-really-is-and-what-its-not-part-ii/) | [**ArXiv paper**](https://arxiv.org/abs/2409.04701)
 
 For many applications, encoding a whole text document into a single embedding representation is not useful. Many applications require retrieving smaller parts of the text and dense vector-based information retrieval systems often perform better with smaller text segments because of the limited information capacity of embedding vectors.