Add SingleStoreDB vendor profile #431
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Thanks @apeng-singlestore - please see my initial comments.
| "multi_vec": { | ||
| "support": "full", | ||
| "source_url": "", | ||
| "comment": "Multiple vector columns can be created and queried" |
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Multi-vector means that the query contains multiple vectors and the results get scored by their proximity to the closest query vector. Is this what you had in mind here? Any way to check documentation for this?
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No direct documentation for this but this is possible:
SELECT
id,
name,
GREATEST(
vector_embedding <*> @query_vector1,
vector_embedding <*> @query_vector2,
vector_embedding <*> @query_vector3
) AS best_similarity
FROM
your_table
ORDER BY
best_similarity DESC
| }, | ||
| "multi_tenancy": { | ||
| "support": "full", | ||
| "source_url": "", |
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Could you please add documentation links for all the "full" suport features?
| "github": "https://github.com/singlestore-labs", | ||
| "website": "https://www.singlestore.com/", | ||
| "vendor_discussion": "", | ||
| "poc_github": "", |
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@apeng-singlestore could we add you as a point of contact here?
| }, | ||
| "license": { | ||
| "value": "Proprietary", | ||
| "source_url": "", |
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Link to your proprietary license?
| "github": "https://github.com/singlestore-labs", | ||
| "website": "https://www.singlestore.com/", | ||
| "vendor_discussion": "", | ||
| "poc_github": "", |
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Please provide a GitHub username for the point of contact who we can reach, regarding any changes or verification of items for the DB in this table
| "DOT_PRODUCT", | ||
| "EUCLIDEAN", | ||
| "COSINE" |
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These are distance metrics. This column is for supported index types like HNSW and IVF. Please check files for other DBs and revise
Adds information for SingleStoreDB.