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Production: prompts, contexts, agents and RAG

Run the model in production, without changing it.

7 result(s) 
- [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
- [hx10ow] AI context to anonymize personal data in English text | context | en | CC-BY-4.0 | https://contextetech.com/en/contexts/anonymize-english-text-hx10ow
- [q0zn5w] JSON schema: classify a support ticket | schema | en | MIT | https://contextetech.com/en/schemas/classify-support-ticket-q0zn5w
- [k4gx7a] JSON schema: extract a resume | schema | en | MIT | https://contextetech.com/en/schemas/extract-resume-k4gx7a
- [886j6b] JSON schema: extract a U.S. invoice | schema | en | MIT | https://contextetech.com/en/schemas/extract-us-invoice-886j6b
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) 1 day
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) 1 day
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
contextetech

AI context to anonymize personal data in English text

AI context that replaces personal data in English text (names, emails, phones, addresses, SSNs, medical record numbers) with tags before sharing it.

InstructionFew-shot3 example(s) 22 days
contextetech

JSON schema: classify a support ticket

JSON Schema to classify a support ticket: category, priority, sentiment, one-sentence summary and next action for the support team.

Instruction5 field(s) 2 days
contextetech

JSON schema: extract a resume

JSON Schema to extract a resume with an LLM: experience, skills, education and certifications. Leaves out age, photo and other protected data.

Instruction7 field(s) 2 days
contextetech

JSON schema: extract a U.S. invoice

JSON Schema to extract a U.S. invoice with an LLM: vendor, invoice number, dates, line items, subtotal, sales tax and total in USD.

Instruction9 field(s) 2 days

What is AI production use?

Production means using an AI model for real tasks: answering questions, writing, searching documents or automating work. This family brings together resources that guide its responses and organize its use without retraining the model.