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Semantic Article Search: BM25 Lexical Ranking vs Dense Embeddings

By Content Syndication & SEO Review Board

Executive Publishing Summary

Architecting syndication search: hybrid search engines combining Elasticsearch BM25 keyword matching with OpenAI / Cohere dense vector embeddings.

Finding relevant articles across vast syndication repositories requires hybrid search engines that combine exact keyword matching with deep semantic understanding.

1. Hybrid Search Architecture

  • BM25 Lexical Indexing: Handling exact title matches, proper nouns, and technical acronyms with high precision.
  • Dense Vector Embeddings: Generating 1536-dimensional embeddings (text-embedding-3-small) to capture conceptual topics and synonyms.
  • Reciprocal Rank Fusion (RRF): Merging lexical and semantic result sets using RRF scoring formulas to produce optimal relevant results.
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