! Working embedder !

This milestone brings me one step closer to engine MVP as it means that now graph is semantically queryable (by meaning not by accuracy)

What I did ?

I integrated qwen-embedder-8b model into my engine which now embedds (Generates 1024 dim vector representing semantic meaning text) this text block for each entity: canonical_name[type]. That allows you to run vector similarity search accross graph entities which makes engine kind of like a little RAG.

~~ Thats all ~~

THX FOR READING