Semantic Search API — Scalable Search for Your Application

I will build a production semantic search API — providing a REST endpoint for your application's search queries, with query embedding generation, vector retrieval, result reranking, faceted filtering, spell correction, and response caching for frequent queries — delivering sub-100ms search latency for your application's users. Search APIs built without response caching for popular queries, request coalescing for simultaneous identical queries, and connection pooling for vector database queries consistently underperform their hardware capability — optimising these architectural details is what separates a search API that feels instant from one that feels sluggish despite adequate hardware.

The API covers query embedding, vector retrieval, cross-encoder reranking, faceted filter support, spell correction, response caching, request coalescing, latency monitoring, and OpenAPI documentation.