mugil0095/verity-rag

VerityRAG is a real-time, agentic retrieval-augmented question-answering system. Users submit questions through the Streamlit app or FastAPI backend; the pipeline delegates bounded retrieval and reformulation to an agent, which checks evidence sufficiency, generates an answer when warranted, and verifies grounding before returning an answer or abstaining. Documents enter through bulk or streaming ingestion and are chunked, embedded, and indexed for hybrid search. Evaluation and optional model/index backends are separate capabilities. The map follows the README and supplied excerpts; unsampled API and agent internals are represented only at documented subsystem level.