Ready-to-use prompts for LLMs

Ready-to-use prompts with variables to fill in: copy, adapt, run.

- [1npskcg] RAG prompt: check that an answer is supported by the sources | prompt | en | MIT | https://contextetech.com/en/prompts/rag-groundedness-check-1npskcg
- [1otu676] RAG prompt: rewrite a chat question into search queries | prompt | en | MIT | https://contextetech.com/en/prompts/rag-query-rewriting-1otu676
- [vqf4s1] AI prompt for an Amazon or Shopify product listing | prompt | en | MIT | https://contextetech.com/en/prompts/amazon-shopify-product-listing-vqf4s1

contextetech

RAG prompt: check that an answer is supported by the sources

Checks a draft answer sentence by sentence against the retrieved passages and flags unsupported claims, as JSON.

Instruction2 variable(s) 23 hr

contextetech

RAG prompt: rewrite a chat question into search queries

Turns the last message of a conversation into a standalone search query plus three variants, before retrieval.

Instruction2 variable(s) 23 hr

contextetech

AI prompt for an Amazon or Shopify product listing

Prompt to write a product listing for Amazon or Shopify in English: title, 5 bullet points and description, from raw product specs.

Instruction4 variable(s) 2 days

What is a prompt?

A prompt is a reusable text template with variables in double braces, for example {{product}}. Fill in the variables, then send it to the model.

Guide: Prompts →