Pocket LLM is a personal knowledge search engine that employs AI and LLMs (large language models) to help users memorize and search through large amounts of text, including PDFs, documents, and URLs. With a focus on privacy and control, Pocket LLM allows users to store their files and models locally on their devices, ensuring that only they have access to them. The tool also offers features such as semantic search, fine-tuning results, result summarization, and hyperfast training and retrieval. It is designed to cater to various users, including legal firms, journalists, researchers, and anyone who wants to build an internal knowledge base.
Features
- Fine-tune results to update the model based on preferences with 1 click.
- Summarize results for easy understanding by picking the top 3 or 5 results.
- Hyperfast training and retrieval, allowing users to train a billion-parameter model on their laptop in minutes and get instant search results.
Use Cases
- Legal firms and journalists can upload past case files to create a fast knowledge base.
- Researchers can search and explore papers and research material, quickly citing sources and finding relevant context.
- Anyone who wants to build an internal knowledge base from documents for fast search and retrieval.
Suited For
- Legal firms
- Journalists
- Researchers
- Individuals and organizations wanting to build an internal knowledge base