eavz
Qdrant

Qdrant

Open-source vector similarity search engine for AI applications

6 actions

Actions

Name
create_collection

Create a new vector collection in Qdrant

upsert_points

Insert or update points (vectors with payloads) in a Qdrant collection

search_points

Search for nearest neighbor vectors in a Qdrant collection

delete_points

Delete points from a Qdrant collection by IDs or filter

list_collections

List all collections in the Qdrant instance

custom_api_call

Make a custom API call to the Qdrant API

Quick Start

TypeScript
import { WeavzClient } from '@weavz/sdk'

const weavz = new WeavzClient({ apiKey: 'wvz_...' })

const result = await weavz.actions.execute({
  integrationName: 'qdrant-custom',
  actionName: 'create_collection',
  input: { /* ... */ },
  connectionId: 'conn_id',
  workspaceId: 'ws_id',
})

Related Integrations

Works well with

Frequently Asked Questions

How do I connect Qdrant to my app?

Use Weavz Hosted Connect for Custom authentication. Install the SDK, create a connection through the connect portal or API, then execute actions programmatically.

What actions does Qdrant support?

Qdrant supports 6 actions including Create Collection, Upsert Points, Search Points, Delete Points, List Collections, and more.

Can I use Qdrant with AI agents?

Yes. Add Qdrant to an MCP server in TOOLS mode or CODE mode. CODE mode provides 80-98% context reduction with 3 meta-tools for efficient agent access.

What authentication does Qdrant use?

Qdrant uses Custom. Weavz handles token management, refresh, and secure credential storage automatically.

How much does the Qdrant integration cost?

The Qdrant integration is included on all Weavz plans including the free tier with 1,000 actions per month. No credit card required.

Connect Qdrant in 2 minutes

Get 1,000 free actions every month. No credit card required.