DeepLearning.AI - Learning Platform

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

JavaScript RAG Web Apps with LlamaIndex

Build a full-stack web application that uses RAG capabilities to chat with your data. Learn to build a RAG application in JavaScript, using an intelligent agent to answer queries.

LlamaIndex

AI Frameworks GenAI Applications Prompt Engineering RAG Search and Retrieval

Building Agentic RAG with Llamaindex

Build autonomous agents that intelligently navigate and analyze your data. Learn to develop agentic RAG systems using LlamaIndex, enabling powerful document Q&A and summarization. Gain valuable skills in guiding agent reasoning and debugging.

LlamaIndex

AI Frameworks Agents GenAI Applications Prompt Engineering RAG Search and Retrieval

AI Agents in LangGraph

Build agentic AI workflows using LangChain's LangGraph and Tavily's agentic search.

LangChain, Tavily

AI Frameworks Agents Chatbots Document Processing GenAI Applications Generative Models Search and Retrieval

Build LLM Apps with LangChain.js

Expand your toolkit with LangChain.js, a JavaScript framework for building with LLMs. Understand the fundamentals of using LangChain to orchestrate and chain modules.

LangChain

AI Frameworks Chatbots GenAI Applications Prompt Engineering RAG Search and Retrieval

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.

Neo4j

Embeddings GenAI Applications RAG Search and Retrieval Vector Databases

Embedding Models: from Architecture to Implementation

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

Vectara

Embeddings Search and Retrieval Vector Databases

Large Language Models with Semantic Search

Learn to use LLMs to enhance search and summarize results, using Cohere Rerank and embeddings for dense retrieval.

Cohere

Embeddings NLP RAG Search and Retrieval Vector Databases

Understanding and Applying Text Embeddings

Learn how to accelerate the application development process with text embeddings for sentence and paragraph meaning.

Google Cloud

Embeddings GenAI Applications NLP RAG Search and Retrieval

Vector Databases: from Embeddings to Applications

Design and execute real-world applications of vector databases. Build efficient, practical applications, including hybrid and multilingual searches.

Weaviate

Embeddings GenAI Applications RAG Search and Retrieval Vector Databases

Building and Evaluating Advanced RAG

Learn advanced RAG retrieval methods like sentence-window and auto-merging that outperform baselines, and evaluate and iterate on your pipeline's performance.

TruEra, LlamaIndex

AI Frameworks Evaluation and Monitoring GenAI Applications LLMOps RAG Search and Retrieval

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.

Chroma

Embeddings Fine-Tuning GenAI Applications RAG Search and Retrieval

Building Multimodal Search and RAG

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

Weaviate

Embeddings MultiModal RAG Search and Retrieval Vector Databases