SleepMind AI
What it is
SleepMind AI is an agentic RAG system that uses 'sleep-time compute' to pre-process research papers with four autonomous agents (Summary, FAQ, Query Predictor, Concept Extractor) before user queries arrive. It benchmarks this approach against traditional RAG to measure latency, cost, and accuracy improvements, providing a FastAPI service and Streamlit dashboard for interaction.
The problem it solves
Traditional RAG systems incur high latency and token costs for every query, even when answering repetitive or predictable questions about static documents.
What you could use it for
- Accelerating research paper analysis by pre-computing summaries and FAQs
- Reducing LLM inference costs for frequent queries on static documents
- Benchmarking the trade-offs between offline preprocessing and real-time retrieval
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.