Document Augmentation Through Question Generation for Enhanced Retrieval

Описание: Unlock the power of document augmentation using AI question generation! This project enhances document retrieval by automatically creating relevant questions from text fragments, making searches more accurate and answers more precise.

Learn how to process PDFs, split text, generate questions with OpenAI GPT-4, and use FAISS vector store for lightning-fast semantic search. Perfect for building smarter document Q&A systems!

Tools & Libraries: Python, LangChain, OpenAI API, FAISS, PyPDF2, Pydantic

Key Features:
PDF text extraction and chunking
Contextual question generation for augmented retrieval
Vector embedding & indexing with FAISS
Semantic similarity search and precise answer generation

Try the full project here: https://www.aionlinecourse.com/ai-pro...

#DocumentRetrieval #QuestionGeneration #OpenAI #LangChain #FAISS #AIsearch #NLP #aionlinecourse