Discover how the Pinecone vector database is revolutionizing AI application development!

Explore large language models (LLMs) and vector databases, including ANN search, similarity methods, and practical skills using BERT and ChromaDB embeddings.

Explore large language models (LLMs) and vector databases, including ANN search, similarity methods, and practical skills using BERT and ChromaDB embeddings.

Explore large language models (LLMs) and vector databases, including ANN search, similarity methods, and practical skills using BERT and ChromaDB embeddings.

This course will teach you how to generate embeddings and use vector databases for semantic search apps, recommendations, and multimodal solutions.

This course will teach you how to generate embeddings and use vector databases for semantic search apps, recommendations, and multimodal solutions.

This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.

Discover the power of Retrieval-Augmented Generation (RAG) in modern NLP applications. This course will teach you how to implement a RAG-based chatbot using Python and TensorFlow, focusing on text embeddings and retrieval techniques.

This course will teach you Veeam backup and replication which will include backup, replication, and off-site capabilities.

This course will teach you Veeam Backup & Replication components along with describing a basic data protection strategy.

This course will teach you how perform multiple functions with Veeam tools including test and validation, protect cloud resources, and other tools available.

Use your knowledge of JavaScript and Velo to create a full-stack application.