Qdrant
Powering the next generation of AI applications with advanced, open-source vector similarity search technology.
Integrate the Qdrant API with the Python API
Setup the Qdrant API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Qdrant and Python remarkably fast. Free for developers.
Start for free — no credit card required
Watch a demo
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Qdrant and Python Actions#
Overview of Qdrant#
Qdrant - https://qdrant.tech/ is a high-performance vector search-engine/database.
Connect Qdrant#
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
qdrant: {
type: "app",
app: "qdrant",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.qdrant.$auth.url}`,
headers: {
"api-key": `${this.qdrant.$auth.api_key}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
1
2
3
4
5
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Start for free — no credit card required
Watch a demo
Trusted by 1,000,000+ developers from startups to Fortune 500 companies