Chunking Strategies for RAG: Fixed-Size vs. Semantic Splitting
Retrieval-Augmented Generation, commonly known as RAG, allows a large language model to answer questions using information from external sources such as company documents, policies, manuals, knowledge bases, and databases. However, before documents can be stored and retrieved effectively, they usually need to be divided into smaller pieces called chunks. Chunking may appear to be a simple...
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