Coding Tools
DigUp: AI tool to find lost files
The AI Advantagehigh confidence
Why it matters
- →Provides a local-first alternative to cloud-based search tools for personal files.
- →Demonstrates practical application of semantic search for non-text media like video.
- →Lowers barrier to entry for building custom knowledge management systems using open-source components.
DigUp is an open-source application designed to help users locate lost files using semantic search capabilities. The tool allows users to index local documents, such as meeting notes and video files, enabling retrieval based on content description rather than filename or directory structure. Available via GitHub, it targets individuals seeking better personal knowledge management solutions without relying on cloud-based services. The project highlights the increasing accessibility of embedding models for local file indexing tasks.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1OpenAI's GPT-5.6 Sol Model Deletes Files Unintentionally
TechCrunch AI · July 14, 2026 · Background
- 2Hugging Face Introduces Multi-Vector Embedding Models
Hugging Face Blog · August 18, 2026 · Background
- 3Hugging Face Powers Papers with Code Search
Hugging Face Blog · August 21, 2026 · Background
- 4Google's ToolGrad Enhances Tool-Use Dataset Generation
Google Research Blog · September 10, 2026 · Background
- 5llama.cpp enables chunked prefill for causal rerankers
llama.cpp Releases · September 28, 2026 · Background
- 6Educational Guide on Building RAG Agents with n8n
Lev Selector · October 21, 2026 · Background
- 7NotebookLM Tutorial: Searching PDFs with RAG
Lev Selector · October 25, 2026 · Background
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