Document Retrieval Courses and Certifications

Introduction to RAG with Java

Discover Retrieval-Augmented Generation fundamentals in Java, exploring how combining retrieval with generation reduces AI hallucinations through practical workflows and implementations.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Text Representation Techniques for RAG Systems with Java

Master text representation techniques for RAG systems using Java, from Bag-of-Words to embeddings, with hands-on implementation of semantic search and t-SNE visualization.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Implementing Semantic Search with ChromaDB

Master advanced semantic search techniques in ChromaDB through multi-query expansion, hybrid retrieval strategies, reranking methods, and multi-field search optimization.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Introduction to RAG with Rust

Discover how Retrieval-Augmented Generation reduces AI hallucinations by combining document retrieval with text generation, building practical RAG workflows in Rust.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Text Representation Techniques for RAG Systems with Rust

Explore text representation methods for RAG systems using Rust, from Bag-of-Words to embeddings, with hands-on implementation and visualization techniques for semantic search.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Master Vertex AI: Leveraging LLMs with Text-Embeddings API

217 ratings at Udemy

Master Google Cloud Vertex AI: Harness LLMs and Text-Embeddings API to Build Advanced AI Solutions and Drive Insights

• Udemy
• 1 hour 54 minutes
• On-Demand
• Paid Course

Playful Technology

Escape Room Document Retrieval System Tutorial in Unity

Learn to create an interactive document retrieval system for escape rooms using Unity, enhancing player immersion and puzzle-solving experiences across various themes and devices.

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

Donato Capitella

RAG Advanced Techniques: Self-Query, Parent Document Retrieval, and HyDE

Dive into advanced RAG techniques including self-query retrieval, parent document strategies, and HyDE implementation, with hands-on labs using Langchain to enhance your LLM development skills.

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

Data Centric

Combining OpenAI Function Calling with Haystack Retrieval for Automated Document Processing

Automate document processing by combining OpenAI Function Calling with Haystack Retrieval. Extract key information from lengthy documents efficiently for analytics and record-keeping.

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

Association for Computing Machinery (ACM)

Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval - Lecture 3

Explore innovative techniques for enhancing first-stage retrieval efficiency through document expansion and filtering, improving search engine performance.

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

Center for Language & Speech Processing(CLSP), JHU

Spoken Document Retrieval and Browsing

Explore advanced techniques for retrieving and browsing spoken documents using speech processing and information retrieval methods.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Unlock LLM potential by integrating external data through RAG. Build AI systems that search, retrieve, and cite documents for reliable, context-aware responses using Streamlit and ChromaDB.

• Codecademy
• 3 hours
• On-Demand
• Free Trial Available

Introduction to Information Retrieval

Master the science behind search engines through indexing, ranking algorithms, vector space models, and modern semantic retrieval techniques with hands-on Lucene practice.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Yannic Kilcher

REALM- Retrieval-Augmented Language Model Pre-Training

Explore REALM, a novel approach to language model pre-training that integrates a latent knowledge retriever, enhancing open-domain question answering and offering interpretability and modularity benefits.

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

Yannic Kilcher

On the Theoretical Limitations of Embedding-Based Retrieval

Explore theoretical limits of vector embeddings in retrieval tasks through analysis of a research paper showing fundamental dimensional constraints even with simple queries.

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