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Beyond Vector Search: Building Better RAG Retrieval with Hybrid Search and Reranking
The first two parts of this series covered why production RAG systems fail and how the quality of the data foundation directly affects everything that comes after it. We looked at document ingestion, parsing, chunking, and metadata design—the layers responsible for turning raw information into something a retrieval system can actually work with.
But even perfectly processed documents are useless if retrieval cannot find the right information.
In this third part, we'll move into the retriev...
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