Beyond Standard RAG: Enhancing Document Processing with Temporal Knowledge Graphs
Why vector databases aren't enough for complex R&D. The need for tracking entities and relationships over time (Temporal KG).
While Retrieval-Augmented Generation (RAG) using vector databases is excellent for semantic search, it struggles with complex queries requiring temporal reasoning or multi-hop relationship traversal. By integrating Temporal Knowledge Graphs, we can enhance document processing for R&D, allowing us to track how entities and their relationships evolve over time.
Coming soon — this article is currently in the planning stage and will be published in full soon.