[w10-1]

The architecture sounds very, very promising. Normalizing entities and relations to put in a graph for RAG sounds great. (I'm still a bit unclear on ingesting or updating existing graphs.)

Curious about suitability of this for PDF's as conference presentation slides vs academic papers. Is this sensitive or tunable to such distinctions?

Looking for tests/validation; are they all in the evaluation folder? A Pharma example would be great.

Thank you for documenting the telemetry. I appreciate the ee commercialization dance :)

[Adityav369]

For ingesting graphs, you can define a filter, or certain document ids. When updating, we look at if any other docs are added with that filer (or you can specify new doc ids). We then do entity and relationship extraction again, and do entity resolution with the existing graph to merge the two.

Creating graphs and entity resolution are both tunable with overrides, you can specify domain specific prompts and overrides (will add a pharma example!) (https://docs.morphik.ai/python-sdk/create_graph#parameters). I tried to add code, but was formatting badly, sorry for the redirect.