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all-minilm-l6-v2

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A Semantic A* Pathfinding agent that navigates Wikipedia using high-dimensional vector space. Built with Python, BeautifulSoup4, and Sentence-Transformers to bridge unrelated concepts through semantic context rather than just keywords.

  • Updated Jan 14, 2026
  • Python

This project uses Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a vector database, populate it with details of many people (names, ages, salaries, addresses and their introductions) and enable searching and querying on the database contents using Cosine-Similarity distances on IVF Flat index.

  • Updated Jan 22, 2025
  • Python

This project uses Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a vector database, populate it with details of many people (names, ages, salaries, addresses and their introductions) and enable searching and querying on the database contents using Cosine-Similarity distances on IVF Flat index.

  • Updated Jan 22, 2025
  • Python

MEDAI: Production-oriented clinical cohort retrieval and summarization system built from scratch using structured medical data, hybrid retrieval, optional LLM reasoning, Dockerized and Cloud deployment.

  • Updated Apr 28, 2026
  • Python

Sorted (SortedPC) is a privacy-focused, local-first file organization tool. It uses local AI (all-MiniLM-L6-v2) and FAISS vector search to automatically sort documents based on their semantic meaning rather than rigid keywords, learning your personal sorting habits over time.

  • Updated Apr 30, 2026
  • Python

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