An LLM powered chatbot that can answer questions based on your specific data
-
Updated
Jul 6, 2024 - JavaScript
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.
Django-based Web Application featuring a Virtual Menu to help travelers pre-order food from highway-side amenities!
This project combines React, Express, OpenAI's CLIP model, and Spotify's ANNOY for searching an uploaded directory with text and image queries.
A weekly assignment on word embeddings, visualizing textual data at the Data Vis & Info Aesthetics Class, Parsons School of Design, Fall 2021
Ask questions about your uploaded PDF by using AI
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.
Hands-on with Milvus vector db
agglomerative hierarchical clustering for Node.js
Coursera / Scrimba course on LLM using JavaScript
A website to help you find the correct Dewey Decimal number for any subject using AI.
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
A javascript visualization tool for comparing embedding models.
Movie detection application.
This project is created to understand how similar different pieces of text are in a multi-dimensional space. This is a crucial concept in Natural Language Processing (NLP) tasks such as text classification, clustering, and recommendation systems.
Conversational search tool for exploring documents using an advanced language model and semantic representation.
Process documents and store chunks and embeddings for textual search
Web Data Crawling and Vectorization
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."