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RAG & Vector Database Engineering

Build grounded AI systems that search private knowledge using embeddings, retrieval pipelines, vector databases, reranking, and evaluation.

12 weeks Intermediate
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RAG & Vector Database Engineering training course at Success Root Technologies
AI-enabled curriculum

AI tools included in this course

Learn the core subject and use current AI assistants responsibly for faster analysis, creation, debugging, automation, and decision-making.

01OpenAI API02LangChain03LlamaIndex04pgvector05Qdrant
What you will learn

A current, project-led curriculum

Move from clear foundations to complete implementation through guided labs, reviews, and a portfolio-ready capstone.

  1. 01Embeddings and semantic search foundations
  2. 02Document loading, chunking, and metadata design
  3. 03Vector databases and hybrid retrieval
  4. 04Reranking, citations, and grounded generation
  5. 05RAG evaluation, observability, and security
  6. 06Private knowledge assistant capstone
Career outcomes

Skills you can demonstrate

Design reliable document retrieval pipelines

Select and operate a vector database

Improve answer relevance with reranking and evaluation

Deploy a cited knowledge assistant

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