Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/

Agentic Insurance Claims Analyzer — Endee Hybrid Search (Dense + BM25) + 3-step RAG pipeline + Groq LLaMA3 + Streamlit UI

This project is a semantic search system using transformer embeddings and the Endee vector database. It turns text documents into vectors and finds the most relevant ones based on meaning, enabling smarter search beyond keywords.

Agentic AI movie recommendation engine using Endee vector database + Groq LLaMA 3.3

RAG-powered document Q&A system built using Endee Vector Database and FastAPI

👨‍💻 About the Author I am a BSc Data Science student passionate about building efficient, data-driven solutions. My work focuses on the intersection of Machine Learning, Software Engineering, and Embedded Systems. Interests: Natural Language Processing, Vector Databases, and Model Deployment. Tech Stack: Python, C++, SQL, and Git.

Semantic Search + Question Answering RAG system using Endee Vector DB

Echo-Ops: Autonomous Infrastructure Observability Agent powered by Endee Vector DB and LLM. Detects architectural entropy in log streams via semantic drift analysis.

🏦 AI-powered Financial Document Intelligence using RAG, Semantic Search & Agentic AI — built on Endee Vector Database