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RAG-based Tutoring Chatbot

A library in your pocket. A tutor by your side.

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The RAG-based Tutoring Chatbot is made using Python, LangChain and FAISS. The system retrieves relevant context from a knowledge base before generating answers with Gemini Flash, grounding responses instead of relying on the model's raw knowledge.I evaluated it with the RAGAS framework, achieving ~0.87 faithfulness and ~0.83 answer relevancy, and deployed it live on Streamlit Community Cloud.I built this project from scratch with no prior coding experience, learning Git and GitHub along the way.

PH · launched Sep 17, 2026 · 2 upvotes (top 26%) · 0 views

Niche: ai tutoring and learning platforms · 328 launches, 27 in the last 7 days ▼ -13% · Explore this niche →

Category and tags

  • Education
  • Agent / copilot
  • B2C
  • AI-native
  • Commercial product
  • API
  • Education
  • GitHub
  • Bots

Visit website ↗ Source listing ↗

Could you build this?

Yes This is an explicit textbook implementation of a RAG pipeline using LangChain, FAISS, and Gemini Flash, which can be vibe-coded within hours.

Competitors

Other products that read as similar to this one : 276 launches clear the similarity bar, closest 8 shown.

Attention rank: #76 of 277 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 323 days after the earliest competitor.

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