landing_page/qdrant-landing/content/documentation/frameworks/mastra.md

title, short_description, description

title	short_description	description
Mastra	Add Qdrant as the vector store in Mastra TypeScript AI apps to power RAG, agents, workflows, and evaluations on local or serverless deployments.	Use Qdrant with the Mastra TypeScript framework as the vector store for RAG, agents, and workflows running locally or in serverless cloud environments.

Mastra

Mastra is a Typescript framework to build AI applications and features quickly. It gives you the set of primitives you need: workflows, agents, RAG, integrations, syncs and evals. You can run Mastra on your local machine, or deploy to a serverless cloud.

Qdrant is available as a vector store in Mastra node to augment application with retrieval capabilities.

Setup

npm install @mastra/core

Usage

import { QdrantVector } from "@mastra/rag";

const qdrant = new QdrantVector({
  url: "https://xyz-example.eu-central.aws.cloud.qdrant.io:6333"
  apiKey: "<YOUR_API_KEY>",
  https: true
});

Constructor Options

Name	Type	Description
url	string	REST URL of the Qdrant instance. Eg. https://xyz-example.eu-central.aws.cloud.qdrant.io:6333
apiKey	string	Optional Qdrant API key
https	boolean	Whether to use TLS when setting up the connection. Recommended.

Methods

createIndex()

Name	Type	Description	Default Value
indexName	string	Name of the index to create
dimension	number	Vector dimension size
metric	string	Distance metric for similarity search	cosine

upsert()

Name	Type	Description	Default Value
vectors	number[][]	Array of embedding vectors
metadata	Record<string, any>[]	Metadata for each vector (optional)
namespace	string	Optional namespace for organization

query()

Name	Type	Description	Default Value
vector	number[]	Query vector to find similar vectors
topK	number	Number of results to return (optional)	10
filter	Record<string, any>	Metadata filters for the query (optional)

listIndexes()

Returns an array of index names as strings.

describeIndex()

Name	Type	Description
indexName	string	Name of the index to describe

Returns

interface IndexStats {
  dimension: number;
  count: number;
  metric: "cosine" | "euclidean" | "dotproduct";
}

deleteIndex()

Name	Type	Description
indexName	string	Name of the index to delete

Response Types

Query results are returned in this format:

interface QueryResult {
  id: string;
  score: number;
  metadata: Record<string, any>;
}

Further Reading

• Mastra Examples
• Mastra Documentation