What is Albus?
Albus is a knowledge base AI that organizes and retrieves information from your files using semantic understanding. It helps businesses create internal AI-powered knowledge libraries by processing PDFs, audio, images, text documents, and web pages. Users can search across all content types with precise referencing and no manual sorting. This AI knowledge base builder uses advanced models to deliver fast, accurate answers based on your own content.
Features & Benefits
- Semantic file organization – Organize uploaded files automatically using AI-driven semantic understanding instead of manual folders.
- Multi-format file support – Process and analyze PDFs, images, audio, markdown, text files, and web content.
- AI referencing with citations – Retrieve answers from your documents with exact page and section references.
- Knowledge search across all content – Search your entire document library using meaning-based queries.
- Command-based folder restructuring – Change document structures with a single instruction using knowledge base AI.
- Always accessible – Access your organized document library from any device or location.
- No hallucinations – Get grounded, source-based answers without fabricated content.
- Real-time web search (Pro & Max) – Combine internal content search with live online information.
- Conversation mode – Interact with your data in a continuous, natural dialogue.
- Canvas mode – Explore semantic relationships visually between documents.
- Multiple AI models – Choose between AI models from Google, OpenAI, Anthropic, and others.
Real-world applications
A consulting firm may use Albus to upload project documentation, strategy reports, and internal guides. With the knowledge base AI, team members can instantly find relevant sections across thousands of files, cutting down time spent searching for past solutions or client data.
An educational institution might store syllabi, lecture notes, and research papers in Albus. Teachers and administrators could then ask questions like “What topics were covered in the last three biology courses?” and get accurate answers pulled from different formats, including PDFs and audio lectures.
A customer support team can use Albus to store help docs, chat transcripts, and product manuals. Instead of searching manually, agents can ask Albus questions like “How do we handle login errors?” and get a referenced response, improving first-response accuracy using the knowledge base AI.
An engineering team could store specifications, test results, and design files. When planning a new product feature, they might use Albus to search prior development notes, identify past issues, and reference data – without opening each file.
