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In LlamaIndex, you can limit the query response or define the output size by specifying options in your index query.
For instance, you can use the
similarity_top_k
option to fetch the top K closest matching terms/definitions to the query. If you set
similarity_top_k=5
, the index will fetch the top 5 closest matching terms/definitions to the query.
Additionally, you can use the
response_mode
option to control the amount of text from the matching terms/definitions used in each LLM call. If you set
response_mode="compact"
, as much text as possible from the 5 matching terms/definitions will be used in each LLM call. Without this, the index would make at least 5 calls to the LLM, which can slow things down for the user.
Here is an example of how you might specify these options in your code:
query_engine = index.as_query_engine(similarity_top_k=5, response_mode="compact")
response = query_engine.query("Your query here")
Please note that the above code is a hypothetical example and may not work as-is. You should adjust it according to your specific needs and the actual API of LlamaIndex.
For more details, you can refer to the
LlamaIndex documentation ().
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