寻星SeekStar-浏览器和 Chat AI 解决的是“如何回答我已经能问出的问题”。SeekStar 要解决的是“如何让我发现自己还不知道该问的问题” 寻星 是一种面向未来的浏览器 / 搜索引擎形态构想。
A Java implementation of HNSW with multi-vector search support
A universal AI and MCP-powered plugin for Logitech's Actions Ring that adapts to the user's workflow.
A Streamlit-based platform offering Ayurvedic remedies. Users can ask queries and complete a questionnaire to discover their dosha (body constitution).
Open Source Hybrid AI Search Application Based OpenAI, Serp, SearXNG, LanceDB...
Retrieval-Augmented Generation chatbot built with Next.js 15, Groq AI, HuggingFace embeddings, Clerk auth, and Neon PostgreSQL. Chat with your PDFs intelligently.
A project that uses Large Language Models (LLMs) to assist users with legal inquiries, particularly based on the Indian Penal Code (IPC). LegalMind provides case summarization, user-specific legal guidance, and recommendations from past case data.
vectorizing data from mysql database to vector so it can be used by LLM in Dify workflow orchestration
Developed an intelligent cologne recommendation platform that uses semantic search and natural language processing (NLP) to match users with fragrances. Users can describe their scent preferences in everyday language (e.g., “I’m looking for something sweet but masculine”).
Multi Modal Agent using Deepgram and Groq LPU's and Sentence Transformers for Vector Embeddings, ChromaDB for persistent vector db storage and BM25 with ColBERT reranking for hybrid search for RAG context management
An AI-powered PDF assistant built with Next.js, MongoDB, and Gemini API that enables users to upload documents and have context-aware, semantic conversations about their contents.
Lightweight RAG system using OpenAI embeddings and ChromaDB for local document search and retrieval.
The Personal Portfolio RAG Agent is a live, production-ready demonstration of end-to-end AI system engineering. More than a Q&A bot, it acts as a knowledge-grounded expert on my professional profile.
A prototype for the SIH 2024 Police Department, where users can speak about a crime scenario and receive relevant IPC sections that apply to the situation.
AI-powered styling decision assistant, built for the YouCam API Skin AI & Apparel VTO Hackathon.
A test project integrating FAISS vector embeddings with Gemini, deployed on Streamlit Cloud.
Praktikum ini membahas penerapan text embedding dan sentence embedding untuk mengubah teks menjadi representasi vektor. Meliputi perhitungan cosine similarity, pembuatan semantic search sederhana, evaluasi menggunakan Hit Rate at K, serta analisis performa encoding dan keterbatasan embedding.
My First RAG pipeline using local ollama models
싸맨들 단어 추측 게임의 프론트엔드 웹 클라이언트 데모용 버전
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