---
name: mastra-qdrant
description: Documentation for @mastra/qdrant. Use when working with @mastra/qdrant APIs, configuration, or implementation.
metadata:
  package: "@mastra/qdrant"
  version: "1.1.5"
---

## When to use

Use this skill whenever you are working with @mastra/qdrant to obtain the domain-specific knowledge.

## How to use

Read the individual reference documents for detailed explanations and code examples.

### Reference

- [Retrieval, semantic search, reranking](references/reference-rag-retrieval.md) - After storing embeddings, you need to retrieve relevant chunks to answer user queries.
- [Storing embeddings in a vector database](references/reference-rag-vector-databases.md) - After generating embeddings, you need to store them in a database that supports vector similarity search.
- [Reference: Qdrant vector store](references/reference-vectors-qdrant.md) - The QdrantVector class provides vector search using Qdrant, a vector similarity search engine.


Read [assets/SOURCE_MAP.json](assets/SOURCE_MAP.json) for source code references.