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  • Qdrant
  • Cloud
  • Build
  • Learn
  • API Reference

Getting Started

What is Qdrant?
  • Understanding Vector Search in Qdrant
Local Quickstart
API & SDKs
Qdrant Web UI

User Manual

Concepts
  • Collections
  • Points
  • Vectors
  • Payload
  • Search
  • Explore
  • Hybrid Queries
  • Filtering
  • Optimizer
  • Storage
  • Indexing
  • Snapshots
Guides
  • Installation
  • Administration
  • Running with GPU
  • Capacity Planning
  • Optimize Performance
  • Multitenancy
  • Distributed Deployment
  • Quantization
  • Monitoring & Telemetry
  • Configuration
  • Security
  • Usage Statistics
  • Troubleshooting

Ecosystem

FastEmbed
  • Quickstart
  • FastEmbed & Qdrant
  • Working with miniCOIL
  • Working with SPLADE
  • Working with ColBERT
  • Reranking with FastEmbed
Qdrant MCP Server

Tutorials

Vector Search Basics
  • Semantic Search 101
  • Build a Neural Search Service
  • Setup Hybrid Search with FastEmbed
  • Measure Search Quality
Advanced Retrieval
  • How to Use Multivector Representations with Qdrant Effectively
  • Reranking in Hybrid Search
  • Search Through Your Codebase
  • Build a Recommendation System with Collaborative Filtering
  • Scaling PDF Retrieval with Qdrant
Using the Database
  • Bulk Upload Vectors
  • Create & Restore Snapshots
  • Large Scale Search
  • Load a HuggingFace Dataset
  • Build With Async API
  • Migration to Qdrant
  • Static Embeddings. Should you pay attention?

Support

FAQ
  • Qdrant Fundamentals
  • Database Optimization
Release Notes

Getting Started

What is Qdrant?
  • Understanding Vector Search in Qdrant
Local Quickstart
API & SDKs
Qdrant Web UI

User Manual

Concepts
  • Collections
  • Points
  • Vectors
  • Payload
  • Search
  • Explore
  • Hybrid Queries
  • Filtering
  • Optimizer
  • Storage
  • Indexing
  • Snapshots
Guides
  • Installation
  • Administration
  • Running with GPU
  • Capacity Planning
  • Optimize Performance
  • Multitenancy
  • Distributed Deployment
  • Quantization
  • Monitoring & Telemetry
  • Configuration
  • Security
  • Usage Statistics
  • Troubleshooting

Ecosystem

FastEmbed
  • Quickstart
  • FastEmbed & Qdrant
  • Working with miniCOIL
  • Working with SPLADE
  • Working with ColBERT
  • Reranking with FastEmbed
Qdrant MCP Server

Tutorials

Vector Search Basics
  • Semantic Search 101
  • Build a Neural Search Service
  • Setup Hybrid Search with FastEmbed
  • Measure Search Quality
Advanced Retrieval
  • How to Use Multivector Representations with Qdrant Effectively
  • Reranking in Hybrid Search
  • Search Through Your Codebase
  • Build a Recommendation System with Collaborative Filtering
  • Scaling PDF Retrieval with Qdrant
Using the Database
  • Bulk Upload Vectors
  • Create & Restore Snapshots
  • Large Scale Search
  • Load a HuggingFace Dataset
  • Build With Async API
  • Migration to Qdrant
  • Static Embeddings. Should you pay attention?

Support

FAQ
  • Qdrant Fundamentals
  • Database Optimization
Release Notes
  • Documentation
  • Using the Database

Database Tutorials

Bulk Upload Vectors to a Qdrant Collection
Large Scale Search
Backup and Restore Qdrant Collections Using Snapshots
Load and Search Hugging Face Datasets with Qdrant
Using Qdrant’s Async API for Efficient Python Applications
Qdrant Migration Guide
Static Embeddings. Should you pay attention?
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