Submission Bhavana PRISM-RAG App

Project information

Our IPL 2026 Assistant is a RAG-based application designed to provide accurate, fact-based insights from fragmented match data. By grounding user queries in our official matches.csv records, the system eliminates model hallucinations regarding IPL 2026 statistics, venues, and team performance.

Technical Implementation:

Knowledge Base: We transformed structured CSV match records into natural-language sentences, significantly improving semantic retrieval quality.

Retrieval Strategy: The system utilizes all-MiniLM-L6-v2 embeddings and FAISS to facilitate natural language questioning, allowing users to query trends like venue-specific performance efficiently.

Generation: The pipeline retrieves the top 2–3 relevant match documents and processes them through a strictly grounded system prompt to synthesize clear, professional, and factual answers.

Running the Application:

Activate Environment: Run .\venv\Scripts\activate in your terminal.

Launch: Execute streamlit run app.py to start the interface.

Access: View the assistant at http://localhost:8501 in your browser.

This design ensures high domain relevance and low latency, perfectly suited for sports enthusiasts requiring reliable data analysis on the go.