Qdrant Courses and Certifications

Qdrant - Vector Database & Search Engine

Building the Ultimate Hybrid Search with Qdrant - A Hands-on Tutorial

Master advanced semantic search techniques by transforming dense embedding pipelines into hybrid systems with Qdrant's latest features, including ColBERT models and universal search endpoints.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Qdrant - Vector Database & Search Engine

Building a Semantic Search App for Music Using Qdrant Cloud

Learn to develop a semantic search application using Qdrant Cloud's Python SDK to efficiently search through thousands of songs across different music genres.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Qdrant - Vector Database & Search Engine

Music Recommendation System with Qdrant Vector Search and Audio Embeddings

Learn to build a music recommendation engine using Qdrant's vector search capabilities, audio embeddings, and metadata to create personalized song suggestions.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Qdrant - Vector Database & Search Engine

Image Classification with Qdrant Vector Semantic Search for Medical Diagnosis

Learn to build an image-based semantic search engine for skin condition diagnosis using Qdrant, covering embedding generation and vector database implementation.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Qdrant - Vector Database & Search Engine

Natural Language Processing with Qdrant for Vector Similarity Search

Master vector similarity search using Qdrant to create embeddings from text data, perform contextual searches, and build recommendation systems for enhanced natural language processing applications.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Qdrant - Vector Database & Search Engine

Getting Started with Qdrant - Introduction to Vector Database and Similarity Search

Master vector similarity search using Qdrant to build semantic search and recommendation systems through hands-on practice with sample datasets and practical implementations.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Qdrant - Vector Database & Search Engine

Qdrant Vector Database and Search Engine Implementation in Rust

Dive into vector database technology with Qdrant, exploring its architecture, implementation in Rust, and applications in similarity search, matching, and recommendations systems.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Qdrant - Vector Database & Search Engine

Embeddings and Similarity Search with Qdrant Vector Database

Explore vector embeddings and similarity search concepts through hands-on demonstrations using Qdrant database, with practical examples for implementing efficient search solutions.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Introduction to Retrieval Augmented Generation (RAG)

23 ratings at Coursera

Learn to build a powerful RAG system using Pandas, SentenceTransformers, and LLMs. Hands-on project covers data import, embeddings creation, and integration with Qdrant for advanced AI applications.

• Coursera
• 5 hours 9 minutes
• On-Demand
• Paid Course

Hands-On AI: RAG using LlamaIndex

1 rating at LinkedIn Learning

Learn how to enhance AI query capabilities and data accuracy through the application of LlamaIndex in retrieval-augmented generation processes.

• LinkedIn Learning
• 6 hours 26 minutes
• On-Demand
• Free Trial Available

Rust

Qdrant - A Vector Search Engine in Rust

Explore vector search engines, their capabilities, and implementation in Rust. Gain insights into neural search, similarity models, and concurrent programming techniques.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Venelin Valkov

Advanced RAG with Llama 3 in LangChain - Building a PDF Chat System

Learn to build an advanced RAG system using LangChain, Llama 3, and open models. Parse PDFs, create embeddings, use vector databases, and implement reranking for intelligent question-answering.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Venelin Valkov

Local RAG with Llama 3.1 for PDFs - Private Chat with Documents using LangChain and Streamlit

Build a local RAG system for PDFs using LLMs, LangChain & Streamlit. Extract text, create vector stores, implement advanced retrieval, and integrate local/remote LLMs for efficient document processing.

• YouTube
• 42 minutes
• On-Demand
• Free Video

RustLab Conference

Live Coding a Quick and Easy Semantic Search with Qdrant from Scratch - Rust Implementation

Build a simple semantic search using Qdrant's Rust API in a live coding session. Learn implementation techniques and enjoy Rust-related humor along the way.

• YouTube
• 46 minutes
• On-Demand
• Free Video

LLMOps Space

Building LLM-Powered Apps: Best Practices for Vector Databases and LLMOps

Explore best practices for LLM-based app development, covering design considerations, technical aspects, and deployment strategies for optimal performance and scalability.

• YouTube
• 45 minutes
• On-Demand
• Free Video