PocketLLM is a neural search tool that allows users to search through thousands of PDFs and documents rapidly. It uses hash-based processing algorithms to accelerate the training and inference of neural networks, enabling users to take advantage of the latest advances in deep learning, resulting in lightning-fast search results without the need for cloud services or third-party servers.
PocketLLM can be trained on one’s own laptop, which provides complete control over data privacy. Legal firms, journalists, researchers, and knowledge-base builders can benefit from the tool.
Legal firms or journalists can upload past case files to create a fast knowledgebase to solve similar problems in the future. Researchers can explore papers and research material, cite sources, and find relevant contexts quickly.
PocketLLM’s trained model can be fine-tuned based on user preferences with one click. The tool also provides summarized search results to make it easy to understand the information and pick the top results that best fit their needs.
PocketLLM is free, private, fully-functional, and available for download for Mac and Windows. Overall, PocketLLM is a powerful semantic search tool that uses deep learning models to help users find what they need without the hassle of clunky keyword-based search engines or chatbot-like tools misunderstanding their needs.