A Java implementation of HNSW with multi-vector search support

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.

A Streamlit-based platform offering Ayurvedic remedies. Users can ask queries and complete a questionnaire to discover their dosha (body constitution).

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”).

Open Source Hybrid AI Search Application Based OpenAI, Serp, SearXNG, LanceDB...

STT-LLM-TTS (websockets/asynchronous) Agent using Deepgram and Groq LPU's and Bert for Vector Embeddings, Chroma for persistent vector db storage and simiarity search for RAG context management

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.

Leadership Coach AI Agent with Youtube knowledge base and Web Search

A test project integrating FAISS vector embeddings with Gemini, deployed on Streamlit Cloud.

An AI-based tool that allows users to upload documents and receive concise summaries and Question-Answering on that Document. The system utilizes vector embeddings to capture key details from the content, enabling quick and accurate response on prompt.

Lightweight RAG system using OpenAI embeddings and ChromaDB for local document search and retrieval.

I post my practices in this repository.

RAG chatbot using car manual data to answer MG ZS warnings via GPT-4o and LangChain.

A medical bot project implementing retrieval-augmented generation (RAG) for health-related assistance. This bot uses vector embeddings to enhance response accuracy and is designed to provide helpful, real-time information within the medical domain.

2025 새만금 공공데이터 공모전 수상작 '새길' 데이터 수집 & 소비 WAS

An internship assignment that creates a FAISS and ChromaDB vector database from a "Luke Skywalker" Wikipedia page for question answering.

寻星SeekStar-互联网探索引擎 寻星 是一种面向未来的浏览器 / 搜索引擎形态构想。通过AI驱动的3D 语义望远镜：把互联网万物折叠成可漫游的星空。输入关键词 → 进入三维语义空间 → 调焦、闲逛、跃迁，发现列表页永远到不了的冷门站点、商品与视频。支持 Web/VR 双模式，开源全流程。 它不再以传统的关键词匹配和线性列表作为信息探索的入口，而是以地图化 / 星图化的方式，展现知识的关联、创作者的聚集，以及那些尚未被命名的领域。 在“寻星”中， 你看到的，不是结果的排序， 而是信息的引力场； 不是冷静的检索， 而是温柔的靠近。