Divyansh Pandey

Read the article for free here: https://medium.com/@divyanshpandey0108/chat-with-your-pdfs-locally-building-a-rag-app-with-streamlit-langchain 🚀 Introduction Retrieval-Augmented Generation (RAG) is one of the most exciting ways to supercharge Large Language Models (LLMs). Instead of relying only on the model's memory (and risking hallucinations 🤯), RAG retrieves knowledge from documents and then generates context-aware responses.

Ever wished for an anime recommender that's smart, interactive, and actually understands what you want to watch next? Good news: the complete codebase for building your own next-gen Anime Recommendation System is available on GitHub! 🎉 There you go: Divyansh0108/AnimAI-Navigator But beware this isn't an instant "click to deploy" project. You'll need hands-on Python skills, comfort with APIs, Docker, cloud platforms like GCP, and your own API keys. (Don't try using random placeholders alright?