Django RAG System

A Django-based Retrieval-Augmented Generation (RAG) system using PostgreSQL with pgvector, LangChain, Sentence-Transformers, and Groq (Llama).

Tech Stack

• Django 4.2 - Web framework
• PostgreSQL + pgvector - Vector database
• LangChain - LLM orchestration
• Sentence-Transformers - Embeddings (all-MiniLM-L6-v2)
• Groq - LLM for answer generation (Llama 3.1 8B)
• PyPDF2 - PDF text extraction