AIB PAL is your all-in-one archive database and local LLM archive which makes it easy to organize and process your private content without the risk of third-party access.
AIB PAL employs Retrieval-Augmented Generation (RAG) -- a technique that enhances Large Language Models (LLMs) by incorporating external knowledge from a knowledge base before generating responses. AIB PAL converts your content into a RAG knowledge base.
AIB PAL uses its fully integrated database enterprise to organize and automatically convert your content into a private RAG knowledge base, accessible only by you.
AIB PAL Specifications
AIB PAL includes a built-in database enterprise, integrated LLM, and user access via the chatbot, search engine, or folder browse. This is a complete system designed as a plug-and-play network device. No internet connection, cloud services, or additional software required.
AIB PAL features the ArchiveInABox H.I.D.E. indexed database enterprise with full-featured user interface including mass uploader, indexer, and customizable indexes. Fully integrated OCR, search engine, LLM, and chatbot.
AIB PAL enables you to fully process your private content for AI queries without exposure to outside networks. Bulk upload DOC, TXT, PDF, JPG, TIFF, PNG while simultaneously organizing in a standard folder tree. Comprehensive search index by file, folder, custom indexes, OCR index, and floating chatbot.
AIB PAL maintains images of your original PDF, scanned documents, and photos which are displayed as thumbs and can be accessed for viewing at full size. All image files are downsampled to optimize performance.
AIB PAL is work ready, with no complicated installation or setup. Works without internet connection. Intuitive browser-based user interface streamlines every aspect of user interaction. Just upload content and the system will fully index for search, and process with LLM. No additional development is required.
AIB PAL is a publishing platform and conversational search experience derived from your content, and takes your knowledge base to a new level -- reducing information isolation while providing new discovery opportunities not realized with everyday archiving.
AIB PAL employs Retrieval-Augmented Generation (RAG) -- a technique that enhances Large Language Models (LLMs) by incorporating external knowledge from a knowledge base before generating responses. AIB PAL converts your content into a RAG knowledge base.
AIB PAL uses its fully integrated database enterprise to organize and automatically convert your content into a private RAG knowledge base, accessible only by you.
Benefits of a RAG knowledge base include:
Dynamic Updating -- RAG allows you to easily incorporate new information by updating the knowledge base it retrieves from -- each time you add content, it is automatically processed to be included in AI responses.
Relevant Responses -- RAG allows the built-in LLM to access your private knowledge base, making responses more accurate and relevant.
Real-Time Information -- RAG allows the built-in LLM to access current information, making responses more useful as your data changes and grows over time.
Combats Hallucinations -- RAG helps mitigate errors by grounding AI responses in verifiable data sourced from your knowledge base.
AIB PAL is uniquely compiled with open source and proprietary software and features Facebook Llama 3 LLM, Rockchip RK3588 SoC with 32 GB RAM, 8 cores utilizing the ARM RISC architecture, 2TB of storage, and an integrated GPU and NPU.
AIB PAL 32-8C-2TB RK3588 062025
