Gian Maria

According to the documentation (https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-ttl-field.html) You can provide a per index/type default _ttl value as follows: { "tweet" : { "_ttl" : { "enabled" : true, "default" : "1d" }...

In my extensions package I've used a similar structure of IHttpFactory, I'm registering all the needed interface as singleton, I can also used keyed registration. Then I register one or...

@dluc I'm trying to lay down an example I'm starting here https://github.com/alkampfergit/SemanticKernelPlayground/blob/feature/better_search/200_CSharpSemanticMemory/KernelMemorySamples/Samples/CustomPipelineBase.cs just a simple way to decouple search/query, next step I'll add re-ranker

I've done it here https://github.com/alkampfergit/KernelMemory.Extensions If you want I've done a couple of video on a chain with Keyword + Vector -> reranking You can find it here https://www.linkedin.com/feed/update/urn:li:activity:7195302978747060225/

Ok thanks :), I just want to be sure that I've done everything from my part :).

I have a PR opened and I'm modifying adding the setting maximum number of element in batch, since azure openai with ada have an hard limit on 16 elements maximum...

Hi @roldengarm actually I suggest using the new embedding model, as far as I know it seems that they do no suffer the 16 element problem. I've custom ingestion pipeline...

Large or small depends on how fast is your vector store, but remember that those models supports additional parameters to reduce number of dimensions.

@dluc I've implemented for almost all provider, except elasticsearch. The elasticsesarch provider has some test that fails outside the scope of this PR, but it uses an approac to save...

@dluc if you want this PR is ready for review.