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sqlite-vec vectorization database #438
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added 2 commits
December 21, 2024 11:58
This PR migrates from weaviate to sqlite-vec. I tried to keep the logic flow the same as before. Initial tests show prompt augmented correctly after matching a search.
Bumps [click](https://github.com/pallets/click) from 8.1.7 to 8.1.8. - [Release notes](https://github.com/pallets/click/releases) - [Changelog](https://github.com/pallets/click/blob/main/CHANGES.rst) - [Commits](pallets/click@8.1.7...8.1.8) --- updated-dependencies: - dependency-name: click dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]>
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Bump click from 8.1.7 to 8.1.8
This PR migrates from weaviate to sqlite-vec. I tried to keep the logic flow the same as before. Initial tests show prompt augmented correctly after matching a search.
ptelang
reviewed
Dec 24, 2024
| query_sql = """ | ||
| WITH distances AS ( | ||
| SELECT name, type, status, description, | ||
| vss_distance(embedding, ?) as distance |
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We need to use cosine distance here. I could not find documentation on vss_distance function, and not sure which kind of distance it computes. I see a vec_distance_cosine function which we can use instead.
https://alexgarcia.xyz/sqlite-vec/api-reference.html#vec_distance_cosine
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Thanks ! well captured , as per slack: I started out with sqlite-vss and then got a warning it was deprecated, so flipped to the sqlite-vec, but left the old similarity distance call in place which weirdly still worked
ptelang
reviewed
Dec 24, 2024
ptelang
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Dec 24, 2024
lukehinds
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ptelang’s stale review
The merge-base changed after approval.
ptelang
approved these changes
Dec 24, 2024
lukehinds
dismissed
ptelang’s stale review
The merge-base changed after approval.
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Migrate to sqlite-vec
This PR migrates from weaviate to sqlite-vec.
I tried to keep the logic flow the same as before. Initial tests show prompt augmented correctly after matching a search.
How to test
Load the packages into the database:
Select a package from data and test in chat " is malicious-crates-dummy from crates safe to use?"
You should then see:
Closes: #437