New ask Hacker News story: Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG

Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG
4 by myrigole | 1 comments on Hacker News.
Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG! Ever wished you could ask a chatbot questions about any research paper or document? Now you can, with our simple Retrieval Augmented Generation (RAG) framework! This project leverages Gradio, LangChain, and Chroma-based vector databases to help you easily load, split, and search through PDFs for accurate, context-aware answers. Key Features: Document Loader: Effortlessly load PDFs for analysis. Text Splitting: Efficiently chunk documents for better processing. Vector Store: Powered by HuggingFaceEmbeddings for accurate retrieval. Retrieval-Based Question Answering: Get contextually relevant responses. Gradio Interface: Simple and user-friendly interface for querying. Perfect For: Answering questions about AI research papers. Customizing Q&A systems for any document type. Check it out and start building your own custom document chatbot today! GitHub Repo https://ift.tt/rUFhLXZ

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