Hybrid Enterprise Search — Multiple Content Sources

I will implement hybrid search across multiple enterprise content sources — federating retrieval across structured databases, document repositories, and knowledge bases, combining semantic and keyword retrieval from each source, and merging results into a unified ranking. Enterprise search across multiple content sources faces the federated retrieval challenge — each source has different content characteristics, different query performance, and different relevance signals; a unified hybrid search layer that normalises retrieval scores across sources before fusion produces coherent rankings that source-specific search cannot.

The implementation covers per-source retrieval configuration (semantic and keyword), score normalisation across sources, cross-source result fusion, permission-aware result filtering, unified ranking, and search quality evaluation across source types.