Knowledge base

As explained in Machine Learning System Design

A knowledge base is an organized repository of structured facts, entities, relationships, or domain-specific information.

How Machine Learning System Design covers it

How deep it goes

Explains the pre-inference lookup and hinting workflow, but stops short of specifying repository design or matching algorithms.

Examples

Uses missing customer entities and rapid, nontechnical additions as the central operational example.

What it assumes

Assumes a deployed model, an inference step, and a process for identifying important missed entities.

What you can do after

Apply it to augment model inputs and resolve selected recognition failures without retraining.

How it connects

Connects knowledge bases with named entity recognition, model inputs, overrides, and fallbacks.

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Also explained in

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  Build Python Web Apps with StreamlitA knowledge base is an organized collection of information that a system can consult to answer questions about a defined subject.
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  Natural Language Processing in Action, Second EditionA knowledge base is an organized collection of facts, entities, and relationships representing information about a domain or the world.
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  Grokking AI ApplicationsAn organized collection of information that can be searched or supplied to an application.
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  Domain-Specific Small Language ModelsRetrieved outside information supplied to a model at inference time to ground its output.
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  Build AI-Enhanced Web AppsA knowledge base is an organized collection of information representing questions, answers, facts, or other domain knowledge.
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  Effective Conversational AIA knowledge base is an organized collection of information that can be searched to support answering questions.
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  Knowledge Graphs and LLMs in ActionA knowledge base is a repository that stores structured representations of facts, entities, relationships, and rules for computational use.
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  AI Agents and ApplicationsAn internal knowledge base is information encoded in a language model's learned parameters and available without consulting external data sources.
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  Inside AIA knowledge base is a repository of domain-specific facts and rules that represents accumulated expert knowledge for an intelligent system.

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Related concepts

• retrieval-augmented generationused by · Retrieval-augmented generation is a technique that retrieves relevant information from external sources and supplies it as context to a generative model when producing an output.
• similarity searchused by · Similarity search is a retrieval technique that finds or ranks items by comparing their representations with a query according to a similarity or distance measure.
• Retrieverused by · A retriever is a software component that searches or queries an information source and returns items relevant to a query for use by downstream processes.
• entity linkingused by · Entity linking is the task of mapping a textual mention to the corresponding canonical entity or identifier in a knowledge base.
• information retrievalused by · Information retrieval is the process of locating and selecting relevant information from an available collection in response to a query or information need.

This explainer was generated by Manning's knowledge graph from the text of Machine Learning System Design. The section links point to the parts of the book it draws on.