Create a chatbot with LangChain to interface with your private data and documents. Learn from LangChain creator, Harrison Chase.

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

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

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

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

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.

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.

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

Build an interactive system for querying video content using multimodal AI

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

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

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

Turn your GenAI prototype into an automated pipeline using Apache Airflow