Dgraph v24.0.0-alpha is available now for the community to try out the support for vector data type which enables semantic search. Dgraph is adding vector support to combine graph data with embeddings, enhancing Graph-based applications and unlocking new AI capabilities. Core graph use cases like f…

@gajanan - You should probably edit this to use markdown so that it is clear. Suround the code with three backticks, then graphql keyword after. ```graphql function foo(bar){ return bar+1; } ``` J

Thanks @jdgamble555 . Fixed it.

[image] gajanan: a new caching approach that will boost performance of all applications I was wondering, when I skimmed the v24 alpha changelog if all the noted performance boosts illuded to in the Q1 Update post are included at this point, or if they’re forth coming in future alpha/beta/rele…

Yes, that is correct there are forthcoming changes that will be included in the release candidate and the 24.0.0 GA. Is there anything specific improvement that you are waiting on?

I’m not waiting on anything super-specific at this time, however we’re closely monitoring the performance related improvements and will certainly test those out when they become available. Thanks for asking! This probably isn’t the right venue to ask, but if you’re able to checkout the badger comm…

Excellent! How are the vector similarity results sorted in the response? Most similar to least similar? Is there a “relevancy” score that could be offered?

Yes, and yes. The results are sorted by similarity according to the metric used (cosine, euclidean, dotproduct), and by using the new dot operator you can also compute the score in results (the distance according to the metric, so lower distance = higher score). We may simplify this so including cu…

@RickSalmon to provide more details. At the lowest level (DQL) we are introducing: a predicate type float32vector a math function dot a query function similar_to an index type hsnw. With those new features, you can retrieve similar nodes, obtain their vector predicates, compute a distance or si…

To support true vectors I would assume you would have to support repeating and sorted arrays. Is this a correct assumption? Will we see these things coming to the regular “array” types as well?

Dgraph 24.0.0-alpha is now available on Github and DockerHub

Announce

amaster507 (Anthony Master) April 13, 2024, 3:47pm 13

If only sets and not arrays, then Dgraph is not GraphQL compliant, just FYI.

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Dgraph 24.0.0-alpha is now available on Github and DockerHub

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