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?
