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  • Develop
  • Deploy
  • Ecosystem
  • Learn
  • API Reference

Learn

Overview

Guides

Overview
Search Evaluation
  • Measuring Retrieval Relevance
  • Evaluating Pipeline Output Quality
Search Patterns
  • How to Choose an Embedding Model: Evaluation & Tradeoffs
  • Query Decomposition for Multi-Hop Questions
  • A Complete Guide to Filtering in Vector Search
Search Tuning
  • Hybrid Search in Qdrant
  • What to Check Before Tuning a Qdrant Collection
  • Candidate Depth: How Much Retrieval Is Enough?
  • How to Tune Hybrid Search in Qdrant
  • When Is a Reranker Worth It?
  • When Your Collection Outgrows RAM
Production & Operations
  • Memory Tiers in Qdrant: What to Use and When
  • Bulk Uploading Data to Qdrant
  • How to Implement Multitenancy and Custom Sharding in Qdrant
  • Managed Cloud Prometheus Monitoring

Tutorials & Examples

Overview
Get Started
Data & Filtering
Multimodal Search
Operations
RAG & Agents
Recommendations
Search Quality

Courses

Overview
Qdrant Beginner Course
Qdrant Essentials Course
Multi-Vector Search Course
Retrieval Optimization
Building AI Assistants with On-Device Memory

Technical Articles

Overview
Vector Search Fundamentals
Core Concepts
Mastering Search
Search Quality
Production Ops
Qdrant Internals
Embedding Research
RAG & Agents
Data Exploration
Demos & Tutorials

Videos

Videos on YouTube

Learn

Overview

Guides

Overview
Search Evaluation
  • Measuring Retrieval Relevance
  • Evaluating Pipeline Output Quality
Search Patterns
  • How to Choose an Embedding Model: Evaluation & Tradeoffs
  • Query Decomposition for Multi-Hop Questions
  • A Complete Guide to Filtering in Vector Search
Search Tuning
  • Hybrid Search in Qdrant
  • What to Check Before Tuning a Qdrant Collection
  • Candidate Depth: How Much Retrieval Is Enough?
  • How to Tune Hybrid Search in Qdrant
  • When Is a Reranker Worth It?
  • When Your Collection Outgrows RAM
Production & Operations
  • Memory Tiers in Qdrant: What to Use and When
  • Bulk Uploading Data to Qdrant
  • How to Implement Multitenancy and Custom Sharding in Qdrant
  • Managed Cloud Prometheus Monitoring

Tutorials & Examples

Overview
Get Started
Data & Filtering
Multimodal Search
Operations
RAG & Agents
Recommendations
Search Quality

Courses

Overview
Qdrant Beginner Course
Qdrant Essentials Course
Multi-Vector Search Course
Retrieval Optimization
Building AI Assistants with On-Device Memory

Technical Articles

Overview
Vector Search Fundamentals
Core Concepts
Mastering Search
Search Quality
Production Ops
Qdrant Internals
Embedding Research
RAG & Agents
Data Exploration
Demos & Tutorials

Videos

Videos on YouTube
  • Learn
  • Technical Articles
  • Demos & Tutorials

Demos & Tutorials

Learn by building. Follow hands-on tutorials and demos covering neural search, serverless deployments, search-as-you-type, and integrations with popular frameworks.

All Technical Articles Vector Search Fundamentals Core Concepts Mastering Search Search Quality Production Ops Qdrant Internals Embedding Research RAG & Agents Data Exploration Demos & Tutorials
Demos & Tutorials

Question Answering with LangChain and Qdrant

Build a retrieval-augmented question answering pipeline with just a few lines of code.

Kacper Łukawski and Manas Chopra

July 30, 2026

Demos & Tutorials

FastEmbed: Qdrant's Efficient Python Library for Embedding Generation

FastEmbed: Quantized Embedding models for fast CPU Generation

Nirant Kasliwal and Manas Chopra

July 30, 2026

Demos & Tutorials

Semantic Search As You Type

Instant search using Qdrant

Andre Bogus

August 14, 2023

Demos & Tutorials

Serverless Semantic Search

Need to setup a server to offer semantic search? Think again!

Andre Bogus

July 12, 2023

Demos & Tutorials

Neural Search 101: A Complete Guide and Step-by-Step Tutorial

Step-by-step guide on how to build a neural search service.

Andrey Vasnetsov

June 10, 2021

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