Qdrant - Vector Database & Search Engine Courses

Production-Scale Retrieval Augmented Generation for Real-Time News Distillation

Discover how to process millions of news articles daily using open-source tools like Flowdapt, Qdrant, vLLM, and TEI for real-time RAG applications, with insights on scaling, deployment, and startup advantages.

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

Getting Started with DSPy - Building LLM Programs Tutorial

Discover how to build robust LLM programs using DSPy framework, from basic concepts to creating retrieve-then-read RAG systems with optimized instructions and structured data handling.

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

Creating a Pioneering Insight Generation Platform for Life Sciences - Using Generative AI and LLMs

Discover how to build an enterprise-scale insight generation platform using Generative AI and LLMs, focusing on transforming complex life sciences data into actionable insights while maintaining security and compliance.

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

Challenges in Using LLM-as-a-Judge for Production Evaluations

Explore key techniques and challenges in using LLMs as evaluation tools for AI applications, with insights on improving RAG-based systems and implementing production-grade assessments.

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

Vector Search for Content-Based Video Recommendation

Discover how to implement vector search for video recommendations using Qdrant, exploring practical applications, system architecture, and performance optimization techniques for high-scale platforms.

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

The Bitter Lesson of Retrieval in Generative Language Model Workflows

Discover how leveraging data and compute in RAG architectures can enhance generative AI applications, with insights from YOKOT.AI's implementation for enterprise data solutions.

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

How Vector Search with Qdrant Improves Workplace Efficiency

Discover how vector search technology and Qdrant power modern work environments, exploring implementation, scaling challenges, and practical applications in AI-driven business solutions.

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

Indexify Unveiled: A Scalable Content Extraction Engine for Multimodal Data

Discover how Indexify enables scalable content extraction and real-time knowledge base creation for AI workflows, focusing on unstructured data processing and hybrid search capabilities.

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

Insights from Diverse Projects in Image Search and RAG

Explore practical insights from real-world vector search projects, covering image matching, property deduplication, and RAG implementations, with focus on DinoV2 and Ada-2 model performance.

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

Superpower Your Semantic Search Using Vector Database - From Model Architecture to Deployment

Discover how to enhance matching systems using vector databases, focusing on implementation, deployment, and optimization for improved search performance and scalability in production environments.

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

High-Performance Entity Matching Solution Using Vector Embeddings and AWS

Discover how to build a high-performance hotel matching system using vector embeddings, AWS infrastructure, and Qdrant for efficient data processing and improved accuracy in the travel industry.

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

FastEmbed - Fast and Lightweight Embedding Generation

Discover how to generate fast, efficient embeddings using FastEmbed library, exploring quantized models and ONNX Runtime for improved throughput and latency in Python applications.

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

Cohere Embed V3: Innovations in Content Quality and Compressed Embeddings

Discover state-of-the-art embedding models featuring content quality assessment and vector compression techniques, with practical insights on implementation and scaling in vector database setups.

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

AI-Powered Music Recommendations Based on Mood and Vibe

Discover how AI and vector embeddings can revolutionize music recommendations by analyzing song vibes and moods through LLMs and transformer models for more personalized listening experiences.

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

Binary Quantization Methods for Vector Database Optimization

Dive into vector database optimization through binary quantization, exploring compression techniques, search speed improvements, and practical implementation strategies for efficient vector similarity search.

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