AI-Powered Document Answer Engine

The Document Answer Engine aims to help users:

• Retrieve, Summarize, and Query Private Documents: Utilize various AI foundational models such as OpenAI, Llama, and others to interact with private documents like PDFs and Word files. The engine focuses on analyzing, summarizing, searching, and extracting insights from documents (PDFs, Word, Excel, etc.), enabling deep interaction with your files. Features include extracting information, annotating content, searching for specific keywords, summarizing text, and generating page-linked references.

• Chat and Search Within Predefined Knowledge Packs: Engage with domain-specific topics through knowledge packs that offer greater relevance and accuracy.

• Chat and Search Within Private Cloud Storage: Access and interact with hundreds of PDFs, files, and more stored in private cloud folders.

This live demo showcases an Active Knowledge Base for private organizations, presented as a chatbot. It runs on Google Cloud using customizable Large Language Models (LLMs) and is under continuous development.

Next Stage Developments:

• Automatic OCR for Photographed or Scanned PDFs: Integrate optical character recognition to process images and scanned documents.

• AI-Assisted File Title Generation and Renaming: Automatically generate and rename file titles for better organization.

• Enhanced Document Management Features: Introduce tools to organize and manage documents more effectively.

• PDF Viewer and Editor: Provide built-in capabilities to view and edit PDF files.

• Visual Knowledge Graph: Develop a visual representation of files and images for continuous updates of the knowledge inventory.

• Knowledge Collection and Curation: Implement features to collect and curate knowledge systematically.