Add template query #9119
Add template query #9119
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Signed-off-by: Mingshi Liu <[email protected]>
mingshl
requested review from
kolchfa-aws,
Naarcha-AWS,
AMoo-Miki,
natebower,
dlvenable and
epugh
as code owners
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kolchfa-aws
added
release-notes
Signed-off-by: Mingshi Liu <[email protected]>
Signed-off-by: Fanit Kolchina <[email protected]>
Signed-off-by: Mingshi Liu <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>
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@kolchfa-aws @mingshl Please see my comments and changes and let me know if you have any questions. Thanks!
| # Query rewriting | ||
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| Query rewriting is the process of transforming or modifying a user query before it is executed. The goal of query rewriting is to improve search accuracy, relevance, or performance by addressing issues such as misspellings, synonyms, ambiguous terms, or query structure. Query rewriting is commonly used in search systems to enhance the quality of search results. | ||
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Line 12: "query structure" has to be qualified as an issue, so I chose this adjective, but you can replace it if there's a better word.
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| ### Step 3: Search using a template query | ||
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| Use the following template query to search the index. The `ml_inference` processor takes the input text `sneakers`, generates a vector embedding, replaces `${text_embedding}` with the generated vector, and searches for documents closest to the vector: |
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"The ml_inference processor takes the input text sneakers, generates a vector embedding," => "The ml_inference processor generates a vector embedding from the input text sneakers,"?
Co-authored-by: Nathan Bower <[email protected]> Signed-off-by: kolchfa-aws <[email protected]>
Description
Add template query documenation
Issues Resolved
Closes #[8969]
Version
2.19
Frontend features
Checklist
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