Local Models with Ollama & Microsoft Extensions - Step-by-Step RAG Guide!

[@LearnWithVarun]

Wow, Love your content. upload more videos on these series :)

[@elbruno]

Thanks Learn! NExt one is this example running with Qdrant local in docker.

[@superior-dev]

@@elbruno Is that one with Qdrant local in docker available already or not yet? Thanks

[@elbruno]

@ OMG, I forgot to record a video! I wrtoe a blog post that can also help: devblogs.microsoft.com/dotnet/vector-data-qdrant-ai-search-dotnet/

[@superior-dev]

@@elbruno Nice, it helped to implement SQLight, thanks! kzbin.info/www/bejne/i5u4h6xmpKdsj6csi=-lZ34c7WQfp3ekwB

[@paulharrington9673]

Would be great to see a video were the embeddings are persisted. Azure SQL and/or Postgres.

[@elbruno]

This repo implements VectorStore using Azure AI Search: aka.ms/netaieshoplitesemanticsearchazureaisearch I hope this helps!

[@superior-dev]

If you like SQLite kzbin.info/www/bejne/i5u4h6xmpKdsj6csi=-lZ34c7WQfp3ekwB

[@elbruno]

@@superior-dev super cool!

[@greenyngchannel855]

Esto tan solo tiene sentido para modelos en local? Tendría sentido para un modelo en Azure ai Studio ? Por cierto ánimo al equipo de phi3 a probar que tal bueno podría ser utilizar el dispositivo y procesador del equipo de M5Stack ... Gracias !!

[@elbruno]

@@greenyngchannel855 si cambias las interfaces de Embeddings para que usen modelos de Azure OpenAI, funciona igual pero con los modelos en la nube.