Qdrant Make integrationAutomate Qdrant with Make.
Can Make keep your Qdrant collections fed and searchable without a line of code? The Qdrant Make integration gives you 5 modules: 3 actions and 2 searches. This guide is for builders who already run Qdrant and want to wire it into other apps, from the first connection to a live scenario.
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What does the Qdrant Make integration let you automate?
The Qdrant Make integration links your Qdrant vector database to Make, a visual tool where you build a scenario (the automation itself) by chaining modules, one brick per step. With it, other apps can write points into a collection, read them back, find the closest vectors and remove what is outdated, all without writing code.
Keep a collection in sync with a source app. Each time a record shows up in your CRM or your help desk, Upload a Point sends it to Qdrant, so your semantic search always sees the latest data. Pages such as the Airtable Make integration show what that source side can look like.
Answer with the closest matches. When a question comes in, Search Points asks the collection for the most similar vectors and hands the results to the next module, which can post them, store them or pass them to an AI step.
Clean up on request. When an item is archived at the source, Delete Points removes it from the collection, and Get Points lets you check what is stored before you act.
What Make does not do here: Qdrant has no trigger module, so a scenario starts from another app or from a schedule. When an endpoint is missing from the list, Make an API Call covers it with the same connection. Qdrant also has an n8n node, described in the Qdrant n8n integration page, and the n8n vs Make comparison helps you pick a tool.
How do you connect your Qdrant account to Make?
- 01
Add a Qdrant module
In your scenario, click the +, search for Qdrant and pick any of its modules. Then click Create a connection. A connection is your Qdrant account linked to Make once and reused by every Qdrant module you add later.
- 02
Name the connection
Giving the connection a name is optional, yet it pays off as soon as you work with more than one Qdrant setup. A clear label lets you pick the right account in each module without guessing which is which.
- 03
Authorize and save
Follow what Make asks for: either approve access on the Qdrant page that opens, or paste the key Qdrant gives you. Click Save, and the module can now list what your account lets it read.
Build your first scenario with Qdrant
GoalWhen a new record appears in another app, Make uploads it to your Qdrant collection as a point.
- 01
Create the scenario
Open the Scenarios page, create a new scenario and click the +. Pick the app that holds your source records, since Qdrant itself has no trigger to start the flow.
- 02
Add Upload a Point
Click the + on the right of the first module, search for Qdrant and choose Upload a Point. Select your connection, or create it now with Create a connection.
- 03
Map the source data
Fill the module fields and pick the collection from the list Make shows once the connection exists. Map values from the first module, so each record becomes one point.
- 04
Test with Run once
Click Run once. Make runs the scenario one time and shows the bundles each module received; a bundle is one item passed along, here one record. Check that the point landed in Qdrant.
- 05
Schedule and switch on
Open the clock on the first module to set the schedule, which is every 15 minutes by default, then switch the scenario on. Each module run on a bundle counts as one operation on your plan.
What can the Qdrant modules do?
Qdrant gives you 5 modules. For each one: what it does for you, when to reach for it, and what to watch out for.
Delete Points
ActionIn Make“Deletes points from a collection.”
This action removes points from a collection, so stale or withdrawn content stops showing up in your similarity results.
Make an API Call
ActionIn Make“Performs an arbitrary authorized API call.”
Here you reach any endpoint of the Qdrant API from your scenario, using the same connection as the other modules, which covers everything the four ready-made modules leave out.
Upload a Point
ActionIn Make“Uploads a single point to a collection.”
Use it to send one point into a collection, which keeps your vector store aligned with the records created in your other tools.
Get Points
SearchIn Make“Retrieves points from a collection.”
With this search you read points back from a collection and pass what you find to the next modules of the scenario.
Search Points
SearchIn Make“Searches a collection for the most similar vectors.”
Similarity search is what this module brings: it looks through a collection and returns the vectors closest to the one you provide.
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