Launching Digger Solo
Digger Solo is an AI file explorer. The core features are the intuitive file search, file exploration using semantic maps and LLM RAG chat interface.
File Search
The file search works by combining full text search capabilities with semantic search allowing to search for content of text and images by their meaning (even if the image has no descriptive file name).
A multitude of file types are supported:
- Text: pdf, docx, md, txt, pptx, csv, etc.
- Images: psd, jpg, png, webp, heic, etc.
- Videos: mp4, mov, webm, etc.
- Audio: only file name search enabled (for now)
Semantic Maps
Explore hidden connections and patterns in your file collections (text, image, video & audio supported) with semantic maps (which translate semantic similarity into spatial proximity).
LLM with RAG
Chat with your documents (including PDF's) by adding an OpenAI protocol based LLM provider in the settings (if you are not self-hosting the LLM, your privacy is at risk using this feature as content of files are sent to the LLM provider).
Privacy
Your files never leave your computer. All processing happens locally. No usage data is collected. Privacy is a feature not just a promise.
Use Cases
- Organize huge photo / e-book / paper / music / sample collections automatically using semantic maps
- Remove (near) duplicate files easily
- Find specific objects in images using semantic search