Search Patterns

Choose how your search system represents data, handles questions, and narrows results.

Find Your Guide

Find practical guidance for the search problem or design decision you are working on.

There is no one-size-fits-all solution when it comes to embedding models. Learn how to choose the right one for your use case.

Answer multi-hop questions by retrieving in steps: an LLM asks each follow-up sub-question, then fuse the per-hop results with RRF.

Apply payload filters, build payload indexes, and combine conditions to narrow Qdrant search results to the right data.