Hybrid Search Consultation—Combined Keyword & Semantic Retrieval

I will assess your search requirements and deliver a written hybrid search design consultation — covering the right combination of dense vector and sparse keyword retrieval for your query distribution, the optimal fusion strategy, whether to use native hybrid support in your vector store or implement a custom fusion layer, and a benchmarking approach to validate the hybrid configuration. Hybrid search design requires understanding your query distribution — if 80% of queries are conceptual and 20% are exact-match, a fusion weighting that favours semantic retrieval is appropriate; if the distribution is reversed, keyword retrieval should dominate; a consultation based on your actual query logs produces a configuration tailored to your users rather than a generic default.

The consultation covers your query distribution analysis, fusion strategy recommendation (RRF, weighted sum, or learned fusion), implementation approach for your vector store, and a benchmarking methodology.