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The response time can be influenced by several factors, including the complexity of the document, the size of the index, and the specific configuration of the query engine. Here are a few suggestions to improve the response time:
- Use a smaller model: If you're using a large language model like
gpt-3.5-turbo
, you might want to consider using a smaller one. Smaller models usually generate responses faster, although the quality of the responses might be slightly lower.
- Reduce the context window: If you're using a large context window, reducing it might speed up the response time. However, this might also affect the quality of the responses, especially if the relevant information is located outside the reduced context window.
- Use a different response mode: If you're using a complex response mode like
tree_summarize
, consider using a simpler one like retrieve
. Simpler response modes usually generate responses faster, although the quality of the responses might be slightly lower.
query_engine = index_with_query.as_query_engine(response_mode='retrieve')
response = query_engine.query("What did the author do growing up?")
print(response)
Source ()
Please note that these are general suggestions and the actual impact on response time might vary depending on the specific circumstances.
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