n8n has a built-in Qdrant Vector Store node for AI workflows: it inserts documents into a Qdrant collection and retrieves them for agents, chains and retrieval-augmented generation (RAG). What it doesn’t do is manage Qdrant itself: list or delete collections, scroll or count points, or edit payloads. For that, Qdrant publishes an official community node. This guide covers the built-in node and its credential (from n8n’s documentation) and the Qdrant community packages on our hub (from the descriptions and READMEs their authors publish on npm, and our own download data).
Quick comparison
| Built-in Qdrant Vector Store | Qdrant community nodes | |
|---|---|---|
| Covers | Insert documents, get many by prompt, retrieve for chains and as an AI Agent tool | Collections, points, vectors, search, payloads and indexes; hybrid search; agent tools |
| Embeddings | From a connected embeddings sub-node | The official node takes vectors you supply; some packages take an embeddings sub-node |
| Credential | Qdrant API: API key and Qdrant URL | URL and optional API key; one package reuses the built-in credential |
| Comes with n8n | Yes | No, installed as a community package |
The built-in Qdrant Vector Store
n8n’s documentation describes four ways to use it:
- As a regular node to insert or get documents, without an agent. Insert Documents takes a collection name and an optional Collection Config in JSON for creating the collection; Get Many takes a collection, a prompt and a limit.
- As a tool for an AI Agent, connected to the agent’s tools connector, with a name and a description that tells the model what the tool does.
- With a Vector Store Retriever, for example in a Question and Answer Chain.
- Through the Vector Store Question Answer Tool, which summarizes results for an agent.
Options include Rerank Results and a Metadata Filter.
The Qdrant credential
The credential takes an API Key and your Qdrant URL. For Qdrant Cloud, the documentation’s steps are: in the Cloud Dashboard open Access Management (or the API Keys section of the cluster detail page), select Create, pick the cluster, copy the key into n8n and enter your cluster’s URL.
Qdrant community nodes
Our Qdrant hub lists 4 packages that pass our quality rule (weekly npm downloads as of 28 October 2026):
| Package | Weekly downloads | Latest version | Author’s description |
|---|---|---|---|
| n8n-nodes-qdrant | 1,993 | 0.2.1 (5 November 2025) | Official node to interface with Qdrant |
| @unwarkz/n8n-nodes-qdrant | 18 | 1.0.6 (29 March 2026) | Qdrant vector store for AI Agent workflows: semantic search, embedding storage, collection management |
| n8n-nodes-qdrant-context-retriever | 11 | 1.0.3 (28 July 2026) | Retrieves relevant context from a Qdrant vector database for RAG and semantic search |
| n8n-nodes-qdrant-hybrid | 7 | 0.3.3 (30 July 2026) | Named dense vectors, BM25 sparse vectors and hybrid RRF search |
Versions and dates come from the npm registry.
n8n-nodes-qdrant (official)
Its repository is in the qdrant GitHub organization and its README calls it the official n8n node for Qdrant. It maps Qdrant’s API one to one:
- Collection: List, Create, Update, Get, Collection Exists, Delete.
- Point: Upsert, Retrieve one or many, Delete, Count, Scroll, Batch Update.
- Vector: Update and Delete vectors on existing points.
- Search: Query Points, Query Points In Batch, Query Points Groups, and distance matrices (Matrix Pairs, Matrix Offsets).
- Payload: Set, Overwrite, Delete and Clear payload, Payload Facets, and create or delete a payload index.
The credential takes the REST URL of your Qdrant instance and an API key if authentication is on. Its README lists Qdrant 1.14.0 or newer.
Other Qdrant packages
- @unwarkz/n8n-nodes-qdrant: two nodes of tools for AI agents, both with a connected embeddings sub-node. One stores texts, batches of texts and binary files as vectors and creates or deletes collections; the other searches, scrolls, gets, upserts, deletes, counts and recommends points.
- n8n-nodes-qdrant-hybrid: for Qdrant 1.15.x collections with named dense vectors and BM25 sparse vectors, searched together with Reciprocal Rank Fusion. It reuses n8n’s built-in Qdrant credential, follows the built-in vector store’s connection pattern, and per its README targets self-hosted n8n with Node.js 20.15 or newer.
- n8n-nodes-qdrant-context-retriever: calls a separate vector search API in front of Qdrant, not Qdrant directly, and returns matches as JSON, Markdown or text. Its README notes the bearer token is a node parameter, so it is stored with the workflow rather than in n8n’s encrypted credentials.
Check each node page here for the latest release and, where it has one, its GitHub repository for open issues before you build on a package.
How to choose
- RAG and AI agents that store and search documents: the built-in Qdrant Vector Store, with an embeddings sub-node.
- Managing collections, payloads, indexes or points directly: the official n8n-nodes-qdrant.
- Hybrid keyword and vector search: n8n-nodes-qdrant-hybrid on self-hosted n8n.
- An agent that writes to and manages its own knowledge base: @unwarkz/n8n-nodes-qdrant.
To install a package on a self-hosted instance, an owner or admin enters its npm name in Settings > Community Nodes; full steps are in How to Install n8n Community Nodes. On n8n Cloud only verified community nodes can be installed, see Verified vs Unverified n8n Community Nodes. Related: OpenAI in n8n, for embeddings and chat models.
FAQ
Does n8n have a Qdrant node?
Yes, the built-in Qdrant Vector Store for inserting and retrieving documents in AI workflows. Qdrant’s own n8n-nodes-qdrant community node covers the rest of Qdrant’s API.
What does the Qdrant credential need?
An API key and your Qdrant URL. For Qdrant Cloud, create the key under Access Management in the Cloud Dashboard and pick the cluster it may access.
Can n8n create a Qdrant collection?
The built-in node’s Insert Documents mode accepts a Collection Config in JSON for creating the collection, and n8n-nodes-qdrant has a Create Collection operation with vector parameters.
What is the most used Qdrant community node?
n8n-nodes-qdrant, with 1,993 weekly npm downloads on 28 October 2026.
