Chatbot Logic
Overview
A specialized RAG (Retrieval Augmented Generation) chatbot that helps users learn from the textbook content.
Backend
- Route:
app/api/chat/route.ts - Logic:
- Receives
queryandhistory. - Embeds query using Gemini or OpenAI embedding model.
- Searches Qdrant (vector DB) for relevant textbook chunks.
- Constructs context from matches.
- Generates response using Gemini Flash/Pro.
Vector Search (Qdrant)
We use Qdrant
[Description truncada. Veja o README completo no GitHub.]