Saeed Esmaili • 6/2/2024

To Chunk or Not to Chunk With the Long Context Single Embedding Models

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This technical article analyzes the effectiveness of long-context embedding models for document retrieval. It details an experiment comparing chunked and non-chunked document embedding using the BGE-M3 model, finding that chunking significantly improves retrieval accuracy (MRR scores) and reduces LLM prompt costs and latency in RAG systems.

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#Rag #Embeddings #Retrieval
To Chunk or Not to Chunk With the Long Context Single Embedding Models

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