Pocket LLM

PocketLLM is a personal knowledge search engine that memorizes 1000s of pages of PDFs & Documents, scrapes URLs, and more. It is powered by AI and LLMs, and trained locally on the user's laptop for full privacy.

Main Features & Characteristics:

1. Stored locally: All files and models are stored locally on the device for privacy; only the user has access to them.
2. Full Control: Easily add, update, or delete models and files at any time.
3. Semantic Search: Users can ask PocketLLM about anything in their document and corpus. With the power of semantic search, they can search entire paragraphs, similar concepts, or even multiple topics all at once.
4. Model Learning & Feedback: PocketLLM can actually learn from feedback. Users can either 'like' the results or teach it new associations to help the model learn their use-case or jargon.
5. One-click Fine-tuning: Fine-tune results to update the model based on preferences with 1 click.
6. Summarize Results: Pick the top 3 or 5 results and summarize them for easy understanding.
7. Hyperfast Training & Retrieval: Train up to a billion parameter model on a laptop in a few minutes and get instant results from search.

Target Users & Typical Use Cases:

1. Legal Firms/Journalists: Upload all past case files related to a topic and create a fast knowledge base.
2. Researchers: Search and explore papers and other research material, quickly cite sources, and find relevant context.
3. Knowledge Base Builders: For anyone who wants to build an internal knowledge base from documents for fast search and retrieval.

Pricing Information: The page indicates 'Get started for free', showing that a free starting option is available.