Steal My Blueprint to Build and Deploy RAGs

 Are you looking for a step-by-step guide on how to build and deploy Retrieval-Augmented Generation (RAG) systems? I can outline a blueprint covering:


  • Data Ingestion & Preprocessing (Scraping, chunking, embedding)
  • Vector Database Setup (FAISS, Pinecone, Weaviate, etc.)
  • Retrieval Pipeline (Similarity search, reranking)
  • LLM Integration (OpenAI, Llama, or custom models)
  • Deployment (API, streamlit app, LangChain, FastAPI)

Let me know if you need a high-level overview or a hands-on tutorial! 🚀