kelindar/search๐ฅ active
Go library for embedded vector search and semantic embeddings using llama.cpp
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
$ git clone https://github.com/Dicklesworthstone/swiss_army_llama.gitGo library for embedded vector search and semantic embeddings using llama.cpp
Find related notes and excerpts while writing. Your link building copilot displays relevant content in graph + list view. A local embedding model powers semantic search. Zero setup. No API key.
Semantic search and document parsing tools for the command line
Train and Infer Powerful Sentence Embeddings with AnglE | ๐ฅ SOTA on STS and MTEB Leaderboard
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
Data from GitHub ยท snapshot Sep 24, 2026