[tinco]

Can I add one more nice to have? Good support for graph data. I'm not 100% certain on it yet, but there's a lot of ideas surrounding storing knowledge as a graph out there and it makes a lot of intuitive sense. I haven't found a killer use case for it yet as so far I can get by just tagging things and sql querying on the tags is powerful enough.

Maybe someone could pitch in. Is knowledge really a graph (for your problem domain), or is that just some bullshit people made up when they still thought AI could be captured mathematically? It feels to me now knowledge is much more like the way vector embeddings work, it's in a cloud where things are related to each other in an analog or statistical way, not a discrete way.

But, perhaps for similar reasons, vector embeddings haven't been super useful to me in building RAG agents yet. Knowledge is either relevant or it's not, and at least for me if it's relevant it has the keywords or tags I need, and just a straight up SQL query brings it in.

[akgfab]

You can think of a vector database with n vectors as a network whose adjacency matrix is nxn and each edge is represented by whatever similarity metric between nodes you choose to use. So you can have strongly connected edges and weakly connected edges.