Semantic image clustering using CLIP and GPT-powered metadata in a Next.js + MongoDB stack
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Updated
Apr 22, 2025 - TypeScript
Semantic image clustering using CLIP and GPT-powered metadata in a Next.js + MongoDB stack
A MongoDB Atlas-powered solution for performing vector searches on insurance-related images
Mongodb vector search to find similar movies based on plot.
Pharmacy e-commerce solution where users can navigate through range of suggested medicines (based upon search history and medical report). Users can make orders via mocked payment gateway. Orders tracked by user and admin. Also platform shares the reasonable amount of analytics to admin and users. For more detail & tech stack- checkout readme
A simple RAG with Mongodb vector index search and OpenAI
A minimal end‑to‑end Retrieval‑Augmented Generation (RAG) app
AI-powered semantic search and Q&A system using MongoDB Atlas vector search, OpenAI embeddings, and LangChain agents to retrieve and summarize MongoDB documentation. Developed as part of the MongoDB University - MongoDB Skills course.
Implementation of a Retrieval-Augmented Generation (RAG) system using MongoDB Atlas Vector Search to enhance LLM-powered applications through semantic information retrieval. Developed as part of the MongoDB University - MongoDB Skills course.
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