Today I encountered an all-in-one embedding database, to which I encountered the concept of a sparse and dense vector, and then went on a rabbit hole to learn more about those.

Sal Rahman

Today I encountered an all-in-one embedding database, to which I encountered the concept of a sparse and dense vector, and then went on a rabbit hole to learn more about those. Then, I encounter something with conditional probability on it. And I'll be honest, I don't understand the full scope of how conditional probability works. Then I remembered, conditional probability also goes hand-in-hand with Bayes' theorem.

And so, that's how my day went.

GitHub - neuml/txtai: 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows - neuml/txtai

GitHub (github.com)