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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
  • Advanced Retrieval

Advanced Tutorials

Use Collaborative Filtering to Build a Movie Recommendation System with Qdrant
Build a Text/Image Multimodal Search System with Qdrant and FastEmbed
Navigate Your Codebase with Semantic Search and Qdrant
Ensure optimal large-scale PDF Retrieval with Qdrant and ColPali/ColQwen
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