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Tried. Not working well. Can I try to use similarity score? Is there any place I can find the sample code under verion 0.6 ? What's the default similarity k we r using ?

4 comments

LLogan M

Default top k is 2

Instead of modifying the prompt, you could also try just appending extra instructions to the query string (that seemed to work well for someone the other day)

For filtering by similarity score, you can do this

Plain Text

from llama_index.indices.postprocessor import SimilarityPostprocessor

index.as_query_engine(
    node_postprocessors=[
        SimilarityPostprocessor(similarity_cutoff=0.7)
    ])

aautratec

yes. it works now, which effectively help me filter those non context related qna. thanks.

WWhiteFang_Jr

@Logan M
If we add instruction in the query, the performance of the query under cosine similarity will not degrade?

LLogan M

eh, hard to say lol It will have some effect, no idea how much. Prompt templates are more difficult to modify properly though, so, it's a tradeoff

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