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Knowledge Graphs

A knowledge graph stores facts as relationships between entities instead of rows in isolated tables. Combined with language models, it gives retrieval structure, makes answers traceable, and lets a system reason across hops. This topic explains how to design, populate, and query one without over-engineering it.

Questions this topic answers

  • 01

    When is a graph the right store, and when is a relational database enough?

  • 02

    How do you populate a graph from documents without filling it with noise?

  • 03

    What does graph-based retrieval change compared to plain vector search?

  • 04

    How do you keep a graph accurate as the underlying sources change?

Guides on Knowledge Graphs

  • Knowledge GraphsFeatured

    Knowledge Graphs for Grounded Retrieval

    Designing, populating, and querying a knowledge graph that makes retrieval traceable and lets a model reason across more than one hop.

    Reading time
    2 h 40 min read
    Level
    Practitioner
    Price
    $44