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    intermediate
    AI Engineering

    RAG & Knowledge Bases: Ground AI in Your Data

    Master Retrieval-Augmented Generation — the technique that lets AI answer questions using your own documents. Learn embeddings, vector databases, chunking strategies, and how to build production RAG pipelines.

    5 lessons40 minutesFree

    Start with lesson 1

    Lessons

    1. 1.What is Retrieval-Augmented Generation?8 min read
    2. 2.Embedding Models and Vector Databases Explained9 min read
    3. 3.Building a RAG Pipeline Step-by-Step10 min read
    4. 4.Chunking Strategies and Retrieval Optimization8 min read
    5. 5.Production RAG: Evaluation, Monitoring, and Scaling8 min read

    Tips & Tricks

    • Start with a small, high-quality document set — RAG quality depends more on document quality than quantity
    • Use overlapping chunks (10-15% overlap) to avoid losing context at chunk boundaries
    • Always include metadata (source, date, section) with your chunks for better retrieval and citation
    • Test retrieval separately from generation — if the wrong chunks are retrieved, no prompt can fix it
    • Use hybrid search (keyword + semantic) for best results — pure vector search can miss exact matches
    • Re-rank retrieved results before sending to the LLM — the top vector match isn't always the most relevant

    Frequently Asked Questions

    Is the "RAG & Knowledge Bases: Ground AI in Your Data" course free?

    Yes. Every course on AI Model Wiki is free to read, with no payment or account needed.

    How long does the "RAG & Knowledge Bases: Ground AI in Your Data" course take?

    The listed estimate is 40 minutes across 5 lessons. You can work through them at your own pace and in any order.

    What does this course cover?

    Master Retrieval-Augmented Generation — the technique that lets AI answer questions using your own documents. Learn embeddings, vector databases, chunking strategies, and how to build production RAG pipelines.

    Do I need prior experience?

    Some basic familiarity with AI Engineering concepts helps. This is an intermediate-level course.

    Is my progress saved?

    If you mark lessons complete, that is remembered in this browser on this device only. Clearing your browser data, or using another device, starts you from the beginning. There are no accounts or certificates for courses.