- New version of RAG_SPECIALIST and RAG_AGENT, including definition of conversation_purpose and response_depth.

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Josako
2025-10-20 15:37:36 +02:00
parent 451f95fbc1
commit aab766fe5e
8 changed files with 429 additions and 9 deletions

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@@ -3,24 +3,29 @@ name: "RAG Task"
task_description: >
Answer the following question (in between triple £):
£££{question}£££
£££
{question}
£££
Base your answer on the following context (in between triple $):
$$${context}$$$
$$$
{context}
$$$
Take into account the following history of the conversation (in between triple €):
€€€{history}€€€
€€€
{history}
€€€
The HUMAN parts indicate the interactions by the end user, the AI parts are your interactions.
Best Practices are:
- Answer the provided question as precisely and directly as you can, combining elements of the provided context.
- Always focus your answer on the actual HUMAN question.
- Try not to repeat your answers (preceded by AI), unless absolutely necessary.
- Focus your answer on the question at hand.
- Answer the provided question, combining elements of the provided context.
- Always focus your answer on the actual question.
- Try not to repeat your historic answers, unless absolutely necessary.
- Always be friendly and helpful for the end user.
{custom_description}