sovit-123/local_file_search
Local file search using embedding techniques
This tool helps researchers, academics, or anyone with large collections of documents quickly find relevant information. You provide a directory of PDFs or text files, or even a CSV of research papers, and a natural language query. It then efficiently sifts through your documents and returns the most relevant files and even specific content snippets, saving you time from manually reading through thousands of papers. Ideal for anyone drowning in a sea of documents.
Use this if you need to perform quick, semantic searches across a large collection of local documents like research papers, reports, or articles to find specific content or files.
Not ideal if you need a persistent, multi-user document management system with advanced features like access control or complex metadata handling.
Stars
10
Forks
1
Language
Python
License
MIT
Category
Last pushed
Oct 29, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/sovit-123/local_file_search"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
winkjs/wink-bm25-text-search
Fast Full Text Search based on BM25
run-llama/semtools
Semantic search and document parsing tools for the command line
Hamza5/file-brain
Smart local file search app that understands your files
OpenConceptLab/oclmap
OCL Mapper (beta): an open-source AI-supported terminology mapping solution for the global community
Dicklesworthstone/frankensearch
Two-tier hybrid search for Rust: sub-millisecond initial results via potion-128M,...