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.
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”).
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
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.
A test project integrating FAISS vector embeddings with Gemini, deployed on Streamlit Cloud.
AI-powered styling decision assistant, built for the YouCam API Skin AI & Apparel VTO Hackathon.
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.
Local-first, agent-oriented memory substrate for engineering decisions and evolving project context
VectorTokenizer is a semantic, hybrid-routing AI agent that replaces brittle regex rules with real-time vector embeddings. It processes routine tasks on a zero-cost local Phi-3 model while securely escalating complex workloads to frontier cloud APIs.
Add a description, image, and links to the vector-embedding topic page so that developers can more easily learn about it.
To associate your repository with the vector-embedding topic, visit your repo's landing page and select "manage topics."