Certification: Advanced Vector Search & RAG Integration with LLMs

The Certification: Advanced Vector Search & RAG Integration with LLMs equips you with specialized knowledge to build next-generation AI-powered applications. Gain skills in semantic search, retrieval augmented generation, and practical integrations that unlock a competitive advantage and future-proof your career in artificial intelligence. Enroll today to expand your expertise and drive innovation in the field of LLMs and vector search technologies.

This certification covers the following topics:

• Understanding Vector Embeddings
• Vector Search: Searching by Meaning
• MongoDB Atlas Vector Search: A Practical Implementation
• Retrieval Augmented Generation (RAG): Bridging the Gap
• Project 2: Question Answering with RAG
• Project 3: RAG-Powered Chatbot
• What are vector embeddings and why are they useful for working with large language models (LLMs)?
• What is vector search and how does it differ from traditional keyword-based search?
• What is Retrieval Augmented Generation (RAG) and how does it address the limitations of large language models?
• How can I use my own data to build a question-answering system using vector search and RAG?
• What are some practical applications of combining vector search and LLMs with your own data?
• What considerations should I keep in mind when choosing an embedding model and setting up a vector search index?