If you are running a #RAG pipeline on embeddings alone, you are leaving…
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If you are running a #RAG pipeline on embeddings alone, you are leaving retrieval quality on the table.
To maximize accuracy, you need to: ➤ Add BM25 ➤ Fuse with Reciprocal Rank Fusion (RRF) ➤ Consider a cross-encoder re-ranking stage
📰 Read the #InfoQ article by Aaditya Chauhan for more information: https://bit.ly/4o8GnoZ
Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG
In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank Fusion (RRF) that combines BM25 and vector results, can enhance the search solution.
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