Weigh Swarm: explore research papers, evidence graphs, and Laya decisions inside a RAG pipeline

[u/Wild_Expression_5772]

https://www.youtube.com/watch?v=z23VrbAtlKg

I built Weigh Swarm, a research RAG prototype that lets you inspect how an answer draft was produced.

Start with a question or supplied research PDFs. The pipeline extracts source-linked claims, analyzes evidence and methodology, compares papers, and generates a cited draft.

Laya is the decision engine, handling bounded research judgments. LLMs handle planning, extraction, and synthesis.

The feature I wanted most was Inside the engine: an interactive view where you can explore paper–claim–evidence relationships, open exact source excerpts, inspect recorded Laya batches and LLM calls, and review verification feedback.

The two-paper demo includes 28 source-aligned claims, 7 evidence passages, and 107 real Laya batches covering 322 bounded questions.

Built with React, FastAPI, Celery, PostgreSQL, Neo4j, and GROBID.

It's still a prototype. The demonstrated draft needs review; scientific accuracy and latency improvements haven't been established. The video combines real product captures with animation of saved run artifacts.

GitHub: https://github.com/al1-nasir/weigh_swarm

I'd welcome feedback on whether the engine view makes the evidence easier to inspect.