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topic:Embeddings

Short Course

Long-Term Agentic Memory With LangGraph

Learn to build AI agents with long-term memory with LangGraph, using LangMem for memory management.

Agents Chatbots Embeddings Evaluation and Monitoring GenAI Applications LLMOps Prompt Engineering RAG Search and Retrieval Vector Databases

LangChain

Short Course

Event-Driven Agentic Document Workflows

Build an event-driven agentic workflow to process documents and fill forms using RAG and human-in-the-loop feedback.

Agents Document Processing Embeddings Event-Driven AI GenAI Applications RAG Search and Retrieval Task Automation Vector Databases

LlamaIndex

Short Course

Attention in Transformers: Concepts and Code in PyTorch

Understand and implement the attention mechanism, a key element of transformer-based LLMs, using PyTorch.

Deep Learning Embeddings GenAI Applications Machine Learning NLP Transformers

StatQuest

Short Course

How Transformer LLMs Work

Understand the transformer architecture that powers LLMs to use them more effectively.

Deep Learning Embeddings GenAI Applications LLMOps Machine Learning NLP RAG Transformers

Jay Alammar, Maarten Grootendorst

Short Course

Multimodal RAG: Chat with Videos

Build an interactive system for querying video content using multimodal AI

Computer Vision Embeddings MultiModal NLP RAG Search and Retrieval Vector Databases

Intel

Short Course

Embedding Models: from Architecture to Implementation

Learn how to build embedding models and how to create effective semantic retrieval systems.

Embeddings Search and Retrieval Vector Databases

Vectara

Short Course

Function-calling and data extraction with LLMs

Learn to apply function-calling to expand LLM and agent application capabilities.

Agents Embeddings

Nexusflow

Short Course

Building Multimodal Search and RAG

Build smarter search and RAG applications for multimodal retrieval and generation.

Embeddings MultiModal RAG Search and Retrieval Vector Databases

Weaviate

Short Course

Explore Mistral's open-source and commercial models, and leverage Mistral's JSON mode to generate structured LLM responses. Use Mistral's API to call user-defined functions for enhanced LLM capabilities.

Embeddings Generative Models Prompt Engineering RAG

Mistral AI

Short Course

Knowledge Graphs for RAG

Learn how to build and use knowledge graph systems to improve your retrieval augmented generation applications. Use Neo4j's query language Cypher to manage and retrieve data.

Embeddings GenAI Applications RAG Search and Retrieval Vector Databases

Neo4j

Short Course

Building Applications with Vector Databases

Learn to build six applications powered by vector databases, including semantic search, retrieval augmented generation (RAG), and anomaly detection.

Anomaly Detection Embeddings MultiModal Vector Databases

Pinecone

Short Course

Advanced Retrieval for AI with Chroma

Learn advanced retrieval techniques to improve the relevancy of retrieved results. Learn to recognize poor query results and use LLMs to improve queries.

Embeddings Fine-Tuning GenAI Applications RAG Search and Retrieval

Chroma

Short Course

Quality and Safety for LLM Applications

Learn how to evaluate the safety and security of your LLM applications and protect against risks. Monitor and enhance security measures to safeguard your apps.

AI Safety Embeddings Evaluation and Monitoring GenAI Applications Vector Databases