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。
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Jul 19, 2026 - TypeScript
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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。
web-crawler transformers semantic-search umap 3d-visualization webgl-computer-graphics ai-search exploratory-search vector-embedding ai-search-engine human-ai-collaboration llm-integrations ai-for-hci
A Java implementation of HNSW with multi-vector search support
java maven java-library semantic-search similarity-search hnsw vector-embedding vector-search java-17 nearest-neighbors-search multi-vector
A universal AI and MCP-powered plugin for Logitech's Actions Ring that adapts to the user's workflow.
plugin c-sharp dotnet mcp sqlite3 clustering-algorithm vector-similarity logitech-sdk vector-embedding
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...
react chrome-extension redis search-engine nextjs serp gpt semantic-search open-ai ai-search tailwind vector-embedding vector-search vector-database
Retrieval-Augmented Generation chatbot built with Next.js 15, Groq AI, HuggingFace embeddings, Clerk auth, and Neon PostgreSQL. Chat with your PDFs intelligently.
typescript nextjs postgresql drizzle tailwindcss rag ai-sdk vector-embedding zod vector-search huggingface groq hybrid-search shadcn-ui drizzle-orm clerk-auth neon-postgres rag-chatbot
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
mysql python data-science postgresql embeddings mysql-database vector-embedding fastapi vector-search vector-database pgvector data-chunking
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”).
javascript css python shell html natural-language-processing cosine-similarity nlp-machine-learning vector-embedding
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
javascript flask asynchronous websockets pdf-uploader context-manager multimodal rag vector-embedding deepgram chromadb stt-llm-tts groq-lpu
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.
react postgresql data-engineering semantic-search api-orchestration rag vite vector-embedding supabase-db serverless-deployment rag-chatbot context-augmentation
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.
python nlp machine-learning natural-language-processing information-retrieval gunadarma cosine-similarity semantic-search sistem-informasi text-embedding vector-embedding sentence-embedding hit-rate-at-k
AI-powered styling decision assistant, built for the YouCam API Skin AI & Apparel VTO Hackathon.
react-native storage s3-bucket expo gemini-api mobile-app-development virtual-tryon-ecommerce vector-embedding supabase groq-api gpt-4o youcam-api
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.
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.
I post my practices in this repository.
numpy scikit-learn pandas matplotlib google-api sagemaker vector-embedding huggingface-transformers openai-api llms langchain
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