Qdrant - Vector Database & Search Engine Courses

Beyond LLMs: Building Smarter Search with Superlinked and Qdrant

Explore how to build advanced search systems beyond LLMs using Superlinked and Qdrant vector database technologies for more intelligent information retrieval.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

GraphRAG with Qdrant and Neo4j - Combining Vector Search and Knowledge Graphs

Explore advanced Retrieval-Augmented Generation by combining vector search capabilities with graph-based relationships for building more intelligent AI applications.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Building Open-Source Agentic RAG with DeepSeek

Dive into building agentic RAG systems using DeepSeek and Qdrant, learning to orchestrate AI applications with secure vector search while maintaining data privacy and control.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Finding the Right Embedding Model for AI Applications Using Sentrev

Master embedding model selection for AI applications using Sentrev - evaluate dense and sparse models, integrate with Qdrant and FastEmbed, and optimize performance while considering environmental impact.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Power Up Your Embeddings with Metadata Awareness

Discover how to enhance vector search by incorporating metadata awareness into embeddings, exploring hybrid search, metadata boosting, and re-ranking techniques for richer retrieval.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Qdrant and Neo4j - Relevant and Diverse Vector Search - MMR and Context Engineering

Discover advanced vector search techniques using MMR algorithms and context engineering with Qdrant and Neo4j, featuring live demos and community insights.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Diversifying Relevant Search Results with MMR in Qdrant

Discover how Maximum Marginal Relevance (MMR) in Qdrant balances similarity with diversity to deliver more varied and useful search results instead of repetitive matches.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Hybrid Search in Legal AI with Qdrant and n8n

Discover how to build an end-to-end hybrid retrieval pipeline for legal AI using Qdrant vector database and n8n automation, combining BM25 and dense embeddings for enhanced search.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Rapid Prototyping RAG Agents with n8n and Qdrant

Discover how to rapidly prototype Retrieval-Augmented Generation workflows using n8n and Qdrant vector database for fast, flexible AI-powered applications without heavy infrastructure.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Operationalizing GraphRAG - Lettria's Scalable Architecture with Neo4j and Qdrant

Discover how to build production-scale GraphRAG systems by integrating Qdrant's vector engine with Neo4j's graph knowledge representation for scalable AI applications.

• YouTube
• 1 hour
• Self-Paced
• Free Video

How to Build a Multimodal Search Stack with One API - Embed, Store, Search Guide to Cloud Inference

Discover how to build a complete multimodal search system using Qdrant's unified API for embedding, storing, and searching data in one streamlined workflow.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Mastering Relevance in Search - AI-Powered Search Technologies and Vector Database Applications

Explore search relevance mastery with AI-powered techniques, vector search, RAG optimization, and evaluation methods from industry experts Doug Turnbull and Trey Grainger.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Score Boosting and Decay Functions in Qdrant - Business Logic in Vector Search

Discover how to implement score boosting and decay functions in Qdrant to apply custom business logic, prioritize proximity, and handle data staleness in vector search applications.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Building Generative AI Applications with RAG - A Quick Start Guide

Discover how to rapidly build and evaluate Retrieval Augmented Generation (RAG) applications using Python, from essential concepts to testing strategies and performance optimization.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Building a RAG Movie Recommendations Chatbot with Qdrant and n8n - No-Code Tutorial

Learn to build a personalized movie recommendation chatbot using RAG technology, Qdrant Cloud, and n8n's AI starter kit - no coding needed. Create custom filters for genres, themes, and preferences.

• YouTube
• 32 minutes
• Self-Paced
• Free Video