IT and Development
Qdrant
10 min
qdrant is a vector database for storing and searching embeddings, enabling similarity search and ai powered applications integrating qdrant with make com allows users to automate workflows involving vector search, ai recommendations, and real time data enrichment using embeddings this is ai generated content based on official qdrant documentation the content may contain mistakes please verify important information if you have questions on vendor documentation, contact https //qdrant tech/documentation/support/ directly requirements to use the qdrant app in make, you must have an active account and an api key, https //qdrant tech/ for subscription, refer to the https //qdrant tech/ connect qdrant and {{product name}} to get started, you must first create a connection between qdrant and {{product name}} , allowing the two services to communicate obtain your api key in your qdrant account create the connection in make obtain your api key in your qdrant account before you create the connection in {{product name}} , you should first obtain your api key in your qdrant account to obtain your api key navigate to the cloud dashboard navigate to the cluster detail page for your desired cluster click the api keys section click create enter a name and optional expiration for the api key select any desired permissions or collections as needed click create copy the api key displayed in the modal you will use this value while creating a connection in {{product name}} because the ui might have changed, the steps you see on your screen might be different, https //qdrant tech/documentation/cloud/authentication/#create database api keys create the connection in {{product name}} https //www make com/en/register , add the qdrant module to your {{scenario singular lowercase}} , and click create a connection if you add a module with an instant tag, click create a webhook , then create a connection optional in the connection name field, enter a name for the connection enter the authentication credentials you copied from your qdrant account or follow the on screen instructions to create the connection for detailed information on connecting an application, see docid\ so88fm6pkt0g adkddfzz page qdrant modules after connecting to the qdrant app, you can choose from a list of available modules to build your {{scenario plural lowercase}} delete points removes specific data points from a selected collection get points fetches individual data points from a specified collection make an api call executes a custom api request to the connected service using your authorized credentials search points finds and returns the vectors in a collection that are most similar to a given input vector upload a point uploads a single data point to a specified collection in your database templates you can look for more templates in https //www make com/en/templates , where you'll find thousands of pre created {{scenario plural lowercase}} qdrant resources you can have access to more resources related to this app on the following links https //community make com/search?q=qdrant https //qdrant tech/ https //qdrant github io/qdrant/redoc/index html https //www make com/en/integrations/qdrant