LangChain Hub: rlm/rag-prompt - the canonical concise RAG question-answering template · Nalanda Prompts

LangChain Hub: rlm/rag-prompt - the canonical concise RAG question-answering template

Asked 6 days agoModified 2 hours agoViewed 19 timesWorks with: GPT-4o, GPT-4 Turbo, Claude 3.5 Sonnet, Gemini 1.5 Pro

The most-pulled RAG prompt on LangChain Hub. Three-sentence answer cap plus an explicit "say you don't know" clause makes it a safe default for production RAG.

You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.
Question: {question} 
Context: {context} 
Answer:

Source: https://smith.langchain.com/hub/rlm/rag-prompt

chatbot langchain guardrails templateGPT-4oGPT-4 TurboClaude 3.5 SonnetGemini 1.5 Pro

History

Sagar Verma

1krep · asked 6 days ago

0 Responses

Want to respond? Log in.