Approximate Nearest Neighbor Search Courses and Certifications

Neural Search Improvements with Apache Solr 9.1 - Approximate Nearest Neighbor and Pre-Filtering

Explore neural search in Apache Solr 9.1, including HNSW graph improvements, pre-filtering capabilities, and Deep Learning integrations for enhanced search relevance and efficiency.

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

Milvus - Accelerating Approximate Nearest Neighbor Search for Large Scale Datasets

Explore techniques to accelerate Approximate Nearest Neighbor Search for large datasets using Milvus. Learn about unstructured data services, vector databases, and real-world AI applications.

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

USENIX

CXL-ANNS - Software-Hardware Collaborative Memory Disaggregation and Computation for Billion-Scale Approximate Nearest Neighbor Search

Innovative approach for scalable approximate nearest neighbor search using CXL memory disaggregation, caching, and parallel processing to significantly improve performance and efficiency.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

Finnish Center for Artificial Intelligence FCAI

Multilabel Classification Framework for Approximate Nearest Neighbor Search

Explore multilabel classification for approximate nearest neighbor search, enhancing space partitioning trees and enabling supervised classifiers as index structures for ANN search.

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

USENIX

Scalable Billion-point Approximate Nearest Neighbor Search Using SmartSSDs

Innovative approach to billion-scale approximate nearest neighbor search using SmartSSDs, offering improved scalability and performance through hierarchical indexing and cooperative processing.

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

USENIX

PathWeaver - A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search

Discover PathWeaver, a novel multi-GPU framework that accelerates graph-based approximate nearest neighbor search with 3.24× speedup through GPU-aware pipelining and optimized data selection.

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

Simons Institute

Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search

Discover advanced parallel clustering techniques using graph-based approximate nearest neighbor search for efficient large-scale data processing and analysis.

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

Packt

Vector Databases Deep Dive

Dive into vector databases, understanding their principles, applications, and how they differ from traditional databases. Master essential concepts like embeddings, distance metrics, and indexing techniques for efficient data retrieval.

• Coursera
• 5 hours 2 minutes
• Self-Paced
• Paid Course

Packt

Harnessing LLMs & Text-Embeddings API with Google Vertex AI

Master Google Vertex AI's LLMs and Text-Embeddings API for building intelligent applications with semantic search, classification, and RAG systems through hands-on projects and real-world use cases.

• Coursera
• 4 hours 16 minutes
• Self-Paced
• Paid Course

Coursera

Vector Database Foundations and Core Concepts

Master vector database technologies, from generating embeddings and similarity metrics to implementing ANN search and HNSW optimization for semantic search and RAG systems.

• Coursera
• 12 hours
• Self-Paced
• Paid Course

Coursera

Master ANN Search

Master high-speed vector search with ANN algorithms, implementing FAISS and Annoy libraries to optimize performance for large-scale datasets in AI applications.

• Coursera
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Packt

Advanced LLM Design: Retrieval, Context, and Prompts

Master advanced LLM design with RAG patterns, hybrid search, prompt engineering, and enterprise evaluation strategies to build scalable, reliable AI solutions for complex business environments.

• Coursera
• 4 hours
• Self-Paced
• Paid Course

Coursera

Unify Modalities: Cross-Modal Retrieval

Master cross-modal retrieval systems that bridge text and images using FAISS, attention mechanisms, and multimodal embeddings for production-scale AI applications.

• Coursera
• 1 hour 36 minutes
• Self-Paced
• Paid Course

Simons Institute

O(log s)-Approximate Nearest Neighbor Search for Earth Mover's Distance

Explore advancements in nearest neighbor search for Earth Mover's Distance, improving approximation to Õ(log s) with sublinear query time using data-dependent LSH functions and tree embedding techniques.

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

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Finding Relevant Items Using Approximate Nearest Neighbor Search Algorithms

Explore algorithms for nearest neighbor search, from KD-Trees to modern approaches like HNSW and IVF-PQ, understanding their applications and performance tradeoffs.

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