intuitiveai

RAG and Knowledge Systems

Learn embeddings, hybrid retrieval, RAG evaluation, ontologies, knowledge graphs, GraphRAG, and evidence-grounded agent architecture.

Begin chapter
  1. 01
    Embeddings & Hybrid Search

    Tokenization, dense and sparse representations, similarity, ANN indexes, quantization, and rank fusion.

  2. 02
    RAG

    Retrieval Augmented Generation for grounding AI.

  3. 03
    Knowledge Graphs & Ontologies

    RDF triples, Turtle, OWL, SPARQL, SHACL, taxonomies, schemas, and semantic reasoning.

  4. 04
    Production RAG & GraphRAG

    Chunking, query transformation, hybrid retrieval, reranking, entity resolution, and global graph search.

  5. 05
    Knowledge-Driven Agent Systems

    Ontology-constrained plans, graph-augmented reasoning, live knowledge updates, and enterprise architecture.

  6. 06
    LLM Interfaces & Structured Outputs

    Context construction, prompt contracts, tool calls, schema validation, retries, and observable model APIs.