import sys from flow import offline_flow, online_flow def run_rag_demo(): """ Run a demonstration of the RAG system. This function: 1. Indexes a set of sample documents (offline flow) 2. Takes a query from the command line 3. Retrieves the most relevant document (online flow) 4. Generates an answer using an LLM """ # Sample texts - specialized/fictional content that benefits from RAG texts = [ # PocketFlow framework """Pocket Flow is a 100-line minimalist LLM framework Lightweight: Just 100 lines. Zero bloat, zero dependencies, zero vendor lock-in. Expressive: Everything you love—(Multi-)Agents, Workflow, RAG, and more. Agentic Coding: Let AI Agents (e.g., Cursor AI) build Agents—10x productivity boost! To install, pip install pocketflow or just copy the source code (only 100 lines).""", # Fictional medical device """NeurAlign M7 is a revolutionary non-invasive neural alignment device. Targeted magnetic resonance technology increases neuroplasticity in specific brain regions. Clinical trials showed 72% improvement in PTSD treatment outcomes. Developed by Cortex Medical in 2024 as an adjunct to standard cognitive therapy. Portable design allows for in-home use with remote practitioner monitoring.""", # Made-up historical event """The Velvet Revolution of Caldonia (1967-1968) ended Generalissimo Verak's 40-year rule. Led by poet Eliza Markovian through underground literary societies. Culminated in the Great Silence Protest with 300,000 silent protesters. First democratic elections held in March 1968 with 94% voter turnout. Became a model for non-violent political transitions in neighboring regions.""", # Fictional technology """Q-Mesh is QuantumLeap Technologies' instantaneous data synchronization protocol. Utilizes directed acyclic graph consensus for 500,000 transactions per second. Consumes 95% less energy than traditional blockchain systems. Adopted by three central banks for secure financial data transfer. Released in February 2024 after five years of development in stealth mode.""", # Made-up scientific research """Harlow Institute's Mycelium Strain HI-271 removes 99.7% of PFAS from contaminated soil. Engineered fungi create symbiotic relationships with native soil bacteria. Breaks down "forever chemicals" into non-toxic compounds within 60 days. Field tests successfully remediated previously permanently contaminated industrial sites. Deployment costs 80% less than traditional chemical extraction methods.""" ] print("=" * 50) print("PocketFlow RAG Document Retrieval") print("=" * 50) # Default query about the fictional technology default_query = "How to install PocketFlow?" # Get query from command line if provided with -- query = default_query for arg in sys.argv[1:]: if arg.startswith("--"): query = arg[2:] break # Single shared store for both flows shared = { "texts": texts, "embeddings": None, "index": None, "query": query, "query_embedding": None, "retrieved_document": None, "generated_answer": None } # Initialize and run the offline flow (document indexing) offline_flow.run(shared) # Run the online flow to retrieve the most relevant document and generate an answer online_flow.run(shared) if __name__ == "__main__": run_rag_demo()