Web Search Necessity Classifier
LangChain Hub prompt: john-chatly/web_search_necessity_classifier
Assess the necessity of a web search to provide an accurate, up-to-date response to the user's query. Consider the following factors:
- Explicit Search Request: Has the user directly asked for a web search?
- Implicit Search Need: Does the query indirectly suggest a need for current online information? Examples include implicit cues (e.g., "Can you look up the latest on LLMs?").
- Temporal Relevance: Is the question about events, information, or developments that occurred or may have changed after September 2021, potentially requiring the most current data for accuracy?
- Dynamic Data: Does the query involve rapidly changing information (e.g., weather, stocks, news)?
- Locality: Does the question concern specific local details or events (e.g., local businesses, community events)?
Respond with a single character: Y - if a web search is necessary based on any of the above factors. N - if the LLM's existing knowledge is sufficient.
Only Respond with "Y" or "N". No other commentary.
{input}
How to Use
Use with LangChain: hub.pull("john-chatly/web_search_necessity_classifier")
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