This browser extension generates text embeddings using the Universal Sentence Encoder model from TensorFlow.js. It allows users to input text and receive corresponding embeddings, which can be useful for various NLP tasks.
Detect AI generated coding answers
An AI course recommendation system project implemented in 2024 TSMC IT Hackathon (Won 1st place)
An LLM powered chatbot that can answer questions based on your specific data
솔루션 API 설명과 예제 검색 챗봇 Core. 웹 페이지 크롤링으로 데이터 추출, OpenAI Embedding 기능 및 GPT 엔진을 연계.
A website to help you find the correct Dewey Decimal number for any subject using AI.
Django-based Web Application featuring a Virtual Menu to help travelers pre-order food from highway-side amenities!
NikolaTesla.ai is an advanced chatbot application that provides in-depth knowledge and information about the life and work of Nikola Tesla. Users can engage in a chat conversation with the chatbot and ask any questions about Nikola Tesla, receiving informative and well-structured responses.
A newsreader app that uses LLM embeddings to semantically prioritise arXiv and Github updates
Process documents and store chunks and embeddings for textual search
Hands-on with Milvus vector db
Couch Pilot recommends a top 500 IMDb movie based on a user's answers to three questions. It solves the chore of picking a movie when you can't decide or can't find something to watch.
🏷️ Fast Topic Analysis is a tool for analyzing text against predefined topics using average weight embeddings and cosine similarity
a chrome extension which uses transformers.js to generate and compare vector embeddings
A weekly assignment on word embeddings, visualizing textual data at the Data Vis & Info Aesthetics Class, Parsons School of Design, Fall 2021
Node Proxima converts your repo into embeddings using OpenAI.
Conversational search tool for exploring documents using an advanced language model and semantic representation.
This repository contains the implementation of a media search application using Google Cloud Spanner and Vertex AI for generating and searching embeddings.
Ce projet est un logiciel de Retrieval-Augmented Generation (RAG) développé en Node.js avec LangChain et Ollama.
Add a description, image, and links to the embeddings topic page so that developers can more easily learn about it.
To associate your repository with the embeddings topic, visit your repo's landing page and select "manage topics."