Template

As explained in Data Storytelling with Altair and AI

A prompt template is predefined text containing instructions and variable placeholders for constructing prompts for language models.

A prompt template is reusable prompt text with variable placeholders. In a retrieval-augmented application, it keeps instructions, retrieved context, and the user’s question in a consistent structure. section 7.4.2

Product question answering

A LangChain application combines the template with Chroma retrieval and GPT-3.5 Turbo. A query asking for a 30-word description produces an answer about the New SmartX 2023 and returns source documents.

Figure 7.14 The implemented architecture

Use the architecture view to trace how the prompt template connects the vector database, retrieval interface, and language model. section 7.4.2

How Data Storytelling with Altair and AI covers it

How deep it goes

Defines placeholders and configures them with PromptTemplate, then stops short of explaining template internals.

Examples

Uses a New SmartX 2023 product template with context, questions, retrieved documents, and generated answers.

What it assumes

Requires familiarity with LangChain components, retrieved context, and an OPENAI_API_KEY configured for the application.

What you can do after

Apply it via LangChain to constrain product answers to retrieved context and return supporting documents.

How it connects

Links LangChain, retrieval-augmented generation, Chroma, embeddings, retrieval interfaces, and language models.

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Related concepts

• Cookiecutterused by · Cookiecutter is a command-line utility that generates project files and directory structures from templates.
• WordPressused by · WordPress is an open-source content management system and publishing platform for creating, managing, and serving websites and digital content.
• promptproduces · An input, typically containing instructions or context, supplied to an artificial-intelligence model to guide or elicit its output.
• placeholderhas part · A placeholder is a temporary or symbolic stand-in for a value, content, component, or position that is supplied, replaced, or resolved later.
• Jinjaused by · Jinja is a Python templating engine that generates text by rendering templates containing static content, expressions, variables, and control structures with supplied data.

This explainer was generated by Manning's knowledge graph from the text of Data Storytelling with Altair and AI. The section links point to the parts of the book it draws on.