Qdrant
Upsert points and run similarity searches in Qdrant collections. In Appbricx, your workflows and server functions call it by name once it is connected.
What you can do
7 actions, each one call from a workflow or a server function. Triggers come from your app: a row changing, a schedule or a webhook.
- Get PointsGet the points of a specific collection
get_points - Search PointsSearch for points closest to your given vector (= embedding)
search_points - Add points to collectionInsert a point (= embedding or vector + other infos) to a specific collection, if the collection does not exist it will be created
add_points_to_collection - Get Collection InfosGet the all the infos of a specific collection
collection_infos - Get Collection ListGet the list of all the collections of your database
collection_list - Delete CollectionDelete a collection of your database
delete_collection - Delete PointsDelete points of a specific collection
delete_points
Set it up
About two minutes, once per project or once for the whole workspace.
- Open Integrations in the builder
Backend panel, Integrations tab, then Qdrant. To connect it for every project, use Workspace settings, Integrations.
- Add your credentials
An API key (or token) from your Qdrant account, pasted once. It is stored encrypted and only read on the server when an action runs.
- API key From Qdrant's settings
- Call an action
From a workflow, by integration id and action name. The call answers with success, output and, when it fails, the reason.
Workflow // .workflow.js (native ctx) export async function run(ctx) { const res = await ctx.integrations.invoke("qdrant", "get_points", { "collectionName": "<collection name>", "getPointsBy": "Ids", "infosToGetPoint": {} }); if (!res.success) throw new Error(res.error); ctx.log.info("Qdrant answered", { output: res.output }); }
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