Certification: Advanced Vector Search & RAG Integration with LLMs

Show the world you have AI skills—master advanced vector search and RAG integration with LLMs. This certification highlights your expertise in cutting-edge techniques powering smarter, context-aware applications.

Difficulty Level: Intermediate Expert Technical
Certification
Certification: Advanced Vector Search & RAG Integration with LLMs

About this certification

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?

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