---
title: "Qdrant Vector Search"
created: 2026-05-10
updated: 2026-05-10
type: concept
tags: [retrieval, embedding, vector-search, stub]
sources: []
---

# Qdrant Vector Search

Qdrant vector search refers to approximate nearest-neighbor retrieval over embedding vectors using the Qdrant vector database.

It is relevant to RAG and large-scale memory retrieval pipelines.

## Related

- [[tachiom]] — Clustering method for faster vector retrieval.
- [[negative-data-mining-ikea]] — Retrieval-quality evaluation and negative mining.
- [[realm-retrieve]] — Retrieval during reasoning.