# RAVANA

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Sriharsha Manthena](https://cerebralvalley.ai/u/AI_Assistant)
- **GitHub:** https://github.com/Sriharsha-02-Manthena/grounded-retail-operations-assistant
- **Demo video:** https://github.com/Sriharsha-02-Manthena/grounded-retail-operations-assistant/blob/main/demo-video.mp4
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3160

Grounded Retail Operations Assistant is a FastAPI web app that answers retail operations questions from internal documents with cited, source-backed answers. A user asks, for example, how long customers have to return an item with a receipt, how often high velocity items are counted, or when price changes take effect, and the app returns only sentences taken from retrieved sample documents, each with a document and section citation. Retrieval is hybrid: BM25-style keyword scoring plus TF-IDF cosine similarity in pure Python, followed by a reranking step using query-term coverage, a verbatim phrase bonus, and a section-heading bonus. If no passage supports a question, the app refuses instead of inventing an answer. An evaluation script checks that every citation excerpt is verbatim in the sample documents and that unsupported questions are refused; it passes 4 of 4 checks on the sample set. The demo uses 3 clearly labelled sample documents (inventory policy, merchandising guide, returns policy; 12 passages). It is a working demo, not a production system and not a real retailer's data.

## More from Meta Global AI Developer Hackathon

- [Shir Bental](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3157)
- [Stéphane de Barbanson](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3158)
- [NeedTrail](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3159)
- [foolers_57](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3161)
- [Inspector Agent](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3162)
- [KasaLite](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3163)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3160. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt