It got a lot of traction on non-coders thinking it’s doing some magic, but if you read the source it boils down to some brittle prompts and lots of Python class boilerplate.
It’s good for building vector indices without worrying about writing adapters to milvus, pinecone, qdrant etc separately - in case you want to switch out later
The class structure provides a clean API for building on, even if the internals are basic. With some refinement, it could be a good starting point for more advanced models.
There’s some useful parts though