PocketLLM is an advanced neural search tool designed for rapid document searches within extensive PDFs and documents, utilizing hash-based processing algorithms to accelerate neural network training and operation. This results in lightning-fast search results without relying on external servers or cloud services. What sets PocketLLM apart is its unique ability to be trained on your own laptop, guaranteeing data privacy. This tool proves invaluable to legal firms, journalists, researchers, and knowledge-base builders. Legal professionals and journalists can swiftly create a knowledgebase by uploading past case files, aiding in solving future similar cases. Researchers can efficiently explore papers, cite sources, and find relevant information. PocketLLM offers user-friendly customization with one-click fine-tuning and presents concise search results, simplifying information retrieval. It's a free, private, and fully-functional tool available for both Mac and Windows, making it a powerful semantic search solution that harnesses deep learning models, eliminating the hassles of conventional keyword-based searches and chatbot-like tools that often misunderstand user needs.