Similarity Search Courses and Certifications

Natural Language Processing: NLP With Transformers in Python

1965 ratings at Udemy

Learn next-generation NLP with transformers for sentiment analysis, Q&A, similarity search, NER, and more

• Udemy
• 11 hours 31 minutes
• On-Demand
• Paid Course

Scrimba

Learn Embeddings and Vector Databases

This course offers an advanced journey into the realm of AI engineering, focusing on the creation, utilization, and management of embeddings in vector databases. Learners will begin by grasping the concept of embeddings and their pivotal role in AI's int…

• Coursera
• 2 hours 6 minutes
• On-Demand
• Free Online Course (Audit)

James Briggs

Locality Sensitive Hashing for Search with Shingling + MinHashing - Python

Learn the traditional approach to Locality Sensitive Hashing (LSH) with James Briggs. This under 1-hour material covers shingling, MinHashing, and banded LSH function.

• YouTube
• 27 minutes
• On-Demand
• Free Online Course

echohive

QA Chat with a Website - OpenAI Embeddings Tutorial: Use GPT-3 API and OpenAI ADA-2 Embeddings

Learn to convert website text into OpenAI embeddings for context similarity search with GPT 3 API in less than an hour with echohive.

• YouTube
• 16 minutes
• On-Demand
• Free Online Course

James Briggs

FAISS - Introduction to Similarity Search

Learn to use Facebook AI Similarity Search (FAISS) for efficient similarity search with James Briggs. Less than 1-hour material covering index training, adding vectors, and product quantization.

• YouTube
• 32 minutes
• On-Demand
• Free Online Course

James Briggs

Hugging Face Datasets - Dataset Builder Scripts for Beginners

Learn to work with dataset builder scripts, use the download manager, and understand Apache Arrow datatypes in Python with James Briggs' under 1-hour material.

• YouTube
• 23 minutes
• On-Demand
• Free Online Course

James Briggs

Choosing Indexes for Similarity Search - Faiss in Python

Learn to efficiently search large datasets using Facebook AI Similarity Search (Faiss) in Python with James Briggs. Understand the use and impact of different indexes in under an hour.

• YouTube
• 32 minutes
• On-Demand
• Free Online Course

James Briggs

Traditional Methods for Similarity Search - Jaccard, W-Shingling, Levenshtein

Learn traditional methods for similarity search in AI, including Jaccard Similarity, w-shingling, and Levenshtein distance, in under an hour with James Briggs.

• YouTube
• 25 minutes
• On-Demand
• Free Online Course

James Briggs

IndexLSH for Fast Similarity Search in Faiss

Learn to use Faiss, an open-source framework for similarity search, with a focus on IndexLSH. Offered by James Briggs, it requires less than an hour.

• YouTube
• 19 minutes
• On-Demand
• Free Online Course

echohive

GPT-4 Codes Near Perfect Langchain Code Using Vector DB from Documentation

Learn to crawl a documentation website, extract code blocks, and generate applications with GPT-4 in less than an hour with echohive.

• YouTube
• 31 minutes
• On-Demand
• Free Online Course

Search with Vectors - Simon Hughes

Learn to search with vectors in less than an hour with Simon Hughes. Ideal for those interested in data science.

• YouTube
• 48 minutes
• On-Demand
• Free Online Course

Learn Embeddings and Vector Databases

Learn how to improve the accuracy and reliability of LLM-based apps by implementing Retrieval-augmented Generation (RAG) using embeddings and a vector database.

• Scrimba
• 1 hour 34 minutes
• On-Demand
• Paid Course