qdrant and qdrant-self-hosted

The self-hosted Docker Compose setup is a deployment method for the main vector database, making them ecosystem siblings as one facilitates the use of the other.

qdrant
81
Verified
qdrant-self-hosted
27
Experimental
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 19/25
Maintenance 10/25
Adoption 2/25
Maturity 15/25
Community 0/25
Stars: 29,544
Forks: 2,095
Downloads:
Commits (30d): 214
Language: Rust
License: Apache-2.0
Stars: 2
Forks:
Downloads:
Commits (30d): 0
Language: Shell
License: MIT
No risk flags
No Package No Dependents

About qdrant

qdrant/qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

This helps AI developers and data scientists build and manage powerful search, recommendation, and classification applications. It takes high-dimensional numerical data (vectors/embeddings) and associated information (payloads) as input. It then allows users to quickly search for similar items, apply complex filters, and power various AI applications, making it ideal for those working with neural networks and semantic data.

AI-application-development semantic-search recommendation-engines machine-learning-operations data-science

About qdrant-self-hosted

AiratTop/qdrant-self-hosted

A simple Docker Compose setup for self-hosting the Qdrant vector database. Includes persistent storage, management scripts, and is pre-configured for easy integration with AI applications and services like n8n on a shared network.

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