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README.md

@@ -23,7 +23,7 @@ A key limitation of large language models (LLMs) is their inability to capture l
 
 Although RAG typically relies on embedding-based retrieval, the embedding models themselves are also based on language models and therefore struggle with queries involving less-frequent entities, often failing to retrieve the crucial knowledge needed to overcome this limitation.
 
-**Knowledgeable Embedding** enhances performance on such queries by injecting real-world entity knowledge into embeddings, making them more *knowledgeable*.
+**Knowledgeable Embedding** addresses this challenge by injecting real-world entity knowledge into embeddings, making them more *knowledgeable*.
 
 **The entity knowledge is pluggable and can be dynamically updated with ease.**