Semantic Search Courses and Certifications

James Briggs

Llama Index 101 with Vector DBs and GPT 3.5

Explore Llama-index with Pinecone vector database for semantic search and LLM retrieval augmentation. Learn about Documents, Nodes, vectorstore objects, and making queries in this practical tutorial.

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

Pinecone

Live Code Review - Pinecone Semantic Search

Build a semantic search engine with TypeScript, exploring concepts and diving into code. Learn about embeddings, compare search methods, and implement key components like CSV loading and indexing.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Open Data Science

Vector Search - A Gentle Introduction - Zain Hasan

Explore vector search technology, its applications in semantic search and recommendation systems, and learn about implementing real-time vector search with CRUD support for production-scale ML models.

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

The Full Stack

Foundation Models - FSDL 2022

Explore Transformers, Large Language Models, prompt engineering, and innovative applications like CLIP and image generation in this comprehensive overview of foundation models.

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

Devoxx

The Capabilities of Semantic Search

Explore semantic search capabilities with the Jina framework, covering symbolic vs. semantic approaches and practical applications for various data types.

• YouTube
• 22 minutes
• On-Demand
• Conference Talk

React Conferences by GitNation

Semantic Search through the Complete Wikipedia with Weaviate’s GraphQL API

Explore semantic search capabilities using Weaviate's GraphQL API to navigate the entire Wikipedia dataset, enhancing information retrieval and knowledge discovery.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk

Data Science Dojo

Large Language Models Bootcamp Information Session

Comprehensive introduction to building LLM-powered applications, covering foundations, advanced techniques, and hands-on projects. Ideal for AI enthusiasts and professionals seeking practical skills in generative AI.

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

Pinecone

Vector Search in Retail

Explore vector search applications in retail, including product recognition and recommendations, with insights on overcoming challenges and leveraging tools like NVIDIA Merlin and Pinecone for impactful implementations.

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

Pinecone

Supercharging Semantic Search with Pinecone and Cohere

Discover how to enhance semantic search applications using Pinecone and Cohere. Learn to create, index, and utilize sentence embeddings for various use cases through an interactive demonstration.

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

Pinecone

Search Like You Mean It - Semantic Search with NLP and a Vector Database

Explore semantic search using NLP and vector databases in this hands-on workshop. Learn to build efficient search applications with practical examples and expert insights.

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

James Briggs

GPT 4 - Superpower Results With Search

Enhance GPT-4's capabilities with retrieval augmentation, using Pinecone vector database to provide up-to-date information and reduce hallucinations in AI-generated responses.

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

Open Data Science

Building an Image Search Service from Scratch - Matthew Rubashkin, PhD - ODSC West 2018

Learn to build a semantic image search model from scratch, covering representation techniques for image and text data, and efficient similarity search methods for datasets of any size.

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

Go Limitless - with Azure Data & AI

Discover Azure's latest innovations in data and AI services, offering limitless scale and possibilities for hybrid data, analytics, AI democratization, and data governance.

• YouTube
• 27 minutes
• On-Demand
• Conference Talk

James Briggs

How to Build a Q&A Reader Model in Python - Open-Domain QA

Learn to build an open-domain question-answering system in Python, covering data preprocessing and model fine-tuning for efficient information retrieval from large datasets.

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

James Briggs

Vector-Based Methods for Similarity Search - TF-IDF, BM25, SBERT

Explore three vector-based approaches for language comparison and document similarity: TF-IDF, BM25, and Sentence-BERT. Learn key techniques for building effective search engines in AI and machine learning.

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