machine learning / 2025
Grow A Garden RAG Chatbot
AI chatbot using RAG with Pinecone that answers questions from the Grow A Garden wiki. Reached 5,000+ visits.
Problem
Players needed fast answers from a large wiki without manually searching scattered pages.
Role
Built the scraping, cleaning, embedding, retrieval, and chatbot interface for a public RAG assistant.
Result
Launched a searchable RAG chatbot that reached 5,000+ organic visits.
case study
What was built
Built an AI chatbot powered by Retrieval-Augmented Generation using Pinecone vector database that provides instant, accurate answers from the entire Grow A Garden wiki. Scraped and cleaned wiki data, implemented semantic search with OpenAI embeddings, and deployed via Streamlit to Render with a custom domain. Reached 5,000+ visits organically.
Highlights
- 5,000+ visits with organic growth
- RAG pipeline with Pinecone vector search
- Semantic search via OpenAI embeddings
- Full data pipeline: scraping, cleaning, embedding, serving
Best Audience
Technology Stack
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