<ul data-eligibleForWebStory="false"><li>Combining TF-IDF with neural embeddings in search system outperforms individual approaches.</li><li>Hybrid approach improves precision by 23%, technical term recall by 45% while maintaining data privacy.</li><li>Different query types necessitate combination to cover varied contexts effectively.</li><li>Testing showed weighted hybrid approach superior for legal document search.</li></ul>

Why My RAG System Outperforms Pure Neural Search: A 3-Month Journey with Hybrid Embeddings

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