RAGA: Reading-And-Graph-building-Agent for Autonomous Knowledge Graph Construction and Retrieval-Augmented Generation

In three linesRAGA is an LLM-based autonomous agent for knowledge graph construction and retrieval-augmented generation. It replaces stateless batch pipelines with a ReAct loop supporting full CRUD operations, hybrid KG-vector synchronization, and evidence-anchored verification linked to source text. Experiments on QASPER show measurable gains in answer and evidence quality.

Summary generated by Claude — human-verified