KanekiEzz/1337-handbook-assistant
AI-powered Question Answering system for the 1337 Coding School handbook using FastAPI, LangChain, Ollama, and RAG.
Implements a full RAG pipeline with PDF ingestion, semantic chunking (500-char chunks with overlap), and ChromaDB vector storage for retrieval, while persisting Q&A history in PostgreSQL via Prisma ORM. Deployed as a containerized stack with FastAPI backend using Mistral LLM via Ollama and a Next.js frontend, with CLI tooling via Makefile for development operations.
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5
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Language
TypeScript
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Category
Last pushed
Jan 12, 2026
Commits (30d)
0
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