# November 28: Support for entity resolution, agentic GraphRAG, user-scoped knowledge graphs

### New Features

* 💡 Graphlit now supports **LLM-based entity resolution** via the `resolveEntities` mutation. You can provide a list of JSON-LD entities to the model, and it will return a resolved list with fields merged or new entities split out, helping to deduplicate and consolidate your knowledge graph.
* 💡 We have expanded our **agentic GraphRAG capabilities** by breaking out specific SDK calls for graph tools, allowing an agentic LLM to manipulate the knowledge graph directly rather than relying solely on graph strategy configuration.
* Graphlit now supports **user-specific knowledge graphs**. For multi-tenant applications, each user can have their own isolated knowledge graph rather than sharing a project-wide graph.
* We have added support for **on-demand entity enrichment**. You can now select entities and enrich them with external data sources like Diffbot, Crunchbase, or Parallel to fill in websites, addresses, funding information, and more.
* Observable entities now expose their `feed` property to the API, and you can filter entities by feed using the updated observable filter.

### Bugs Fixed

* GPLA-4748: Fixed entity validation errors when upserting Organization entities
* GPLA-4743: Enrichment now correctly creates and assigns Founder relationships from JSON-LD
* GPLA-4725: `graph` query now returns inter-entity edges that were being ignored
* GPLA-4728: Deleting a CRM feed now recursively deletes entities sourced from it