In recent years, traditional methods of manual reading and keyword-based searches have proven time-consuming and often ineffective in providing precise, context-aware answers from PDF documents, exacerbating the problem with generic responses from chatbots like ChatGPT. However, the proliferation of AI - powered chatbots, driven by advanced techniques such as Natural Language Processing (NLP) and Deep Learning (DL), has revolutionized human-computer interaction across domains like Marketing, Support Systems, Education, Healthcare etc. These chatbots, leveraging sophisticated language models like GPT(Generative Pre-trained Transformer), simulate natural language conversations, significantly enhancing user experiences with PDFs. Multi-PDF-Bot(Docu Detective.AI) emerges as a notable solution, integrating NLP and DL to efficiently retrieve specific information from PDFs, eliminating the need for time-consuming manual scanning and streamlining workflows. Leveraging technologies like FAISS (Facebook AI Similarity Search) and LangChain, Multi-PDF-Bot enables seamless interaction and instant retrieval of relevant information. Robust training methodologies, enhance understanding and response capabilities, while secure storage of user data in Vector databases ensures privacy and facilitates future improvements.