Qdrant integration
The Qdrant package (Robomotion.Qdrant, v1.1.0) adds 17 nodes to Robomotion flows, including Create Collection, List Collections and Get Collection.
It runs on Windows, macOS and Linux robots. For AI agents, 16 of its nodes work as tools, and its Toolkit node exposes 9 tools at once.
What the Qdrant package does
Connect to Qdrant vector database for similarity search, embeddings storage, and vector operations
Qdrant vector database package for storing, searching, and managing vector embeddings. Provides full collection lifecycle management (create, list, get, delete, exists check) with configurable distance metrics (Cosine, Euclidean, Dot Product, Manhattan). Supports point operations including upsert (with id, vector, and payload), retrieval by ID, deletion, scrolling with pagination, counting, and vector similarity search with score thresholds. Includes granular payload management (set, delete specific keys, clear all). Uses gRPC for communication with TLS support. Nodes can connect via a shared Connect/Disconnect session (client ID pattern) or directly with inline credentials on each node. Authenticates via API key credential.
- Namespace
Robomotion.Qdrant- Latest version
- 1.1.0 (7 versions published)
- Written in
- Go
- Categories
- DatabaseArtificial Intelligence
Qdrant nodes (17)
These are the node IDs an agentic flow or an RPA bot uses, exactly as they appear in the Flow Designer and in flow code. An agent tool node can also be called by an AI agent on its own. The Toolkit node hands an agent several of the package operations at once.
| Node | Node ID | Type |
|---|---|---|
| Connect | Robomotion.Qdrant.Connect | Agent tool |
| Disconnect | Robomotion.Qdrant.Disconnect | Agent tool |
| Create Collection | Robomotion.Qdrant.Collections.Create | Agent tool |
| List Collections | Robomotion.Qdrant.Collections.List | Agent tool |
| Get Collection | Robomotion.Qdrant.Collections.Get | Agent tool |
| Delete Collection | Robomotion.Qdrant.Collections.Delete | Agent tool |
| Collection Exists | Robomotion.Qdrant.Collections.Exists | Agent tool |
| Upsert Points | Robomotion.Qdrant.Points.Upsert | Agent tool |
| Get Points | Robomotion.Qdrant.Points.Get | Agent tool |
| Delete Points | Robomotion.Qdrant.Points.Delete | Agent tool |
| Scroll Points | Robomotion.Qdrant.Points.Scroll | Agent tool |
| Count Points | Robomotion.Qdrant.Points.Count | Agent tool |
| Query Points | Robomotion.Qdrant.Points.Query | Agent tool |
| Set Payload | Robomotion.Qdrant.Payload.Set | Agent tool |
| Delete Payload | Robomotion.Qdrant.Payload.Delete | Agent tool |
| Clear Payload | Robomotion.Qdrant.Payload.Clear | Agent tool |
| Toolkit | Robomotion.Qdrant.Agents.Toolkit | Toolkit · 9 tools |
Platforms
The Qdrant package runs on Windows, macOS and Linux robots. Any Robomotion robot on these operating systems can run a flow that uses it.
How to install the Qdrant package
- Open Packages in the Robomotion Flow Designer.
- Search for Qdrant or
Robomotion.Qdrant, then click Install on its card. - The Qdrant nodes appear in the node palette for everyone in the workspace, because installation is per workspace.
From a terminal, the Robomotion CLI installs the same package:
robomotion install Robomotion.QdrantRelated integrations
Packages that share a category or keywords with Qdrant. It is filed under Database and Artificial Intelligence.
LanceDBStore and search embeddings in LanceDB - the embedded vector database. Works against a local directory, S3/GCS/Azure object storage or LanceDB Cloud. Vector, full-text and hybrid search, SQL filters, upserts, indexing, plus a Toolkit that hands the whole database to an AI agent.
Knowledge BaseQuery Robomotion Knowledge Bases from flows. Hybrid (vector + keyword) retrieval over locally cached sqlite-vec indexes, an optional Rerank node (Cohere / Voyage AI / Jina), plus a Knowledge Toolkit for Hermes agents. The same binary doubles as the ingestion worker used by robomotion-agent.
PineconeProvides a simple interface to access the Pinecone API, Pinecone's vector database is fully-managed, developer-friendly, and easily scalable.
PerplexityConnect to Perplexity AI for AI-powered search and chat completions with real-time web data
TavilyAI-powered web search, content extraction, crawling, and site mapping with Tavily API
BadgerDBBadgerDB is an embeddable, persistent and fast key-value (KV) database.
Qdrant documentation
The Qdrant package reference on docs.robomotion.io documents each node and its properties.
https://docs.robomotion.io/reference/packages/qdrant/Package data from the Robomotion package index, synced October 31, 2026.