How deeply does Building Reliable AI Systems cover retrieved document?

Traces query-based retrieval and context use, without detailing retrieval or generation internals.

Retrieved document

As explained in Building Reliable AI Systems

Information selected from an external knowledge source and supplied to a model as response context.

A retrieved document is information selected from a knowledge base and supplied to a model as context. In a RAG flow, the retriever searches for information relevant to the user’s query, then the generator receives both and produces a response incorporating the retrieved context. section 3.2.3

Grounding responses in retrieved evidence can mitigate hallucinations by giving the model information beyond its parametric memory. Relevant background can also frame a chatbot’s domain, such as electronics e-commerce. section 3.3 section 2.6.2

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Grokking AI ApplicationsTextual information retrieved from a knowledge source and supplied to a language model alongside a user query.

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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.
promptpart of · An input, typically containing instructions or context, supplied to an artificial-intelligence model to guide or elicit its output.
GPT modelused by · A GPT model is a generative pretrained Transformer language model that produces text autoregressively by predicting successive tokens from preceding context.
prompt templateused by · A prompt template is a reusable structure for organizing instructions, context, and variable inputs supplied to a language model.
generatorused by · A generator is a computational component or construct that produces data or values from inputs, representations, context, or specified constraints.
fidelitymeasured by · Fidelity is the degree to which an output, model, or representation accurately reflects or is supported by its relevant source, target, evidence, or behavior.

This explainer was generated by Manning's knowledge graph from the text of Building Reliable AI Systems. The section links point to the parts of the book it draws on.