What is N8n Nodes Qdrant

n8n-nodes-qdrant is the official n8n node designed for interfacing with Qdrant, a vector similarity search engine that provides a production-ready service with a convenient API for storing, searching, and managing vectors.

Use cases

Use cases for n8n-nodes-qdrant include managing collections of vectors for machine learning models, performing similarity searches for recommendation engines, analyzing data patterns in high-dimensional spaces, and integrating vector search functionalities into applications.

How to use

To use n8n-nodes-qdrant, follow the installation guide provided in the n8n community nodes documentation. Once installed, you can utilize various operations such as collection management, point operations, vector operations, and payload operations.

Key features

Key features of n8n-nodes-qdrant include collection management (listing, creating, getting, checking existence, and deleting collections), point operations (upserting, retrieving, deleting, counting, and scrolling points), vector operations (updating, deleting, querying points, and calculating distance matrices), and payload operations (setting, overwriting, deleting payloads, and creating payload indexes).

Where to use

n8n-nodes-qdrant can be used in fields requiring vector similarity search capabilities, such as machine learning, data analysis, recommendation systems, and any application that involves managing and querying high-dimensional data.

n8n-nodes-qdrant

This is the official n8n node for interfacing with Qdrant.

Qdrant is a vector similarity search engine that provides a production-ready service with a convenient API to store, search, and manage vectors.

Installation

Follow the installation guide in the n8n community nodes documentation.

Operations

The node supports the following operations:

Collection

• List Collections - List all collections in the Qdrant instance
• Create Collection - Create a new collection with specified vector parameters
• Update Collection - Update parameters of an existing collection
• Get Collection - Get information about a specific collection
• Collection Exists - Check if a collection exists
• Delete Collection - Delete a collection

Point

• Upsert Points - Insert or update points in a collection
• Retrieve Point - Get a single point by ID
• Retrieve Points - Get multiple points by their IDs
• Delete Points - Remove points from a collection
• Count Points - Count points in a collection with optional filtering
• Scroll Points - Scroll through all points in a collection
• Batch Update Points - Perform multiple point operations in a single request

Vector

• Update Vectors - Update vectors for existing points
• Delete Vectors - Remove vectors from points

Search

• Query Points - Search for similar vectors
• Query Points In Batch - Perform multiple vector searches in batch
• Query Points Groups - Group search results by payload field
• Matrix Pairs - Calculate distance matrix between pairs of points
• Matrix Offsets - Calculate distance matrix using offsets

Payload

• Set Payload - Set payload for points
• Overwrite Payload - Replace entire payload for points
• Delete Payload - Remove payload from points
• Clear Payload - Clear all payload fields
• Payload Facets - Get payload field statistics
• Create Payload Index - Create an index for payload fields
• Delete Payload Index - Remove a payload field index

Credentials

To use this node, you need to set up Qdrant credentials:

• URL: The REST URL of your Qdrant instance
• API Key (optional): Your Qdrant API key if authentication is enabled

Compatibility

This node is compatible with:

• Qdrant version 1.14.0 and above

Resources

• n8n community nodes documentation
• Qdrant Documentation
• Qdrant GitHub Repository