Repository for Multililngual Generation, RAG evaluations, and surrogate judge training for Arena RAG leaderboard (NAACL'25)
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
A C++ library providing access to Cohere's API.
An AI-powered document analysis platform that transforms uploaded files into intelligent, conversational insights with secure authentication, persistent chat history, and seamless cloud integration.
ThinkLessX is an intent-aware Telegram AI bot designed to eliminate decision debt. Instead of overwhelming users with summaries or suggestions, it converts incoming messages, documents, and media into clear next actions.
🚀 A smart assistant that helps travelers with destination details, trip planning, safety tips, and personalized itineraries — making every journey simpler and more enjoyable! 🌍🤖
Cohere's command-xlarge model, built with Streamlit for interactive user interface. It processes user input and generates responses in real-time.
An AI-powered web assistant for stress relief, offering personalized mood analysis, calming activities, motivational quotes, and mental wellness suppor
This repository contains the code and resources for a Retrieval-Augmented Generation (RAG) based Question Answering (QA) bot. The QA bot leverages a vector database (Pinecone) for efficient retrieval of relevant document embeddings and uses Cohere's generative model to provide coherent answers based on the retrieved information.
A Ruby gem for interacting with Cohere AI Platform.
A Gen AI Legal RAG Chatbot That Read and Answer Your Legal Document and give summary with source.
Built a RAG system that ingests text/OCR data, chunks and embeds documents, stores vectors in FAISS, retrieves top-k context, and generates source-grounded answers using Cohere’s Command-R-Plus via a Gradio chat interface with persistent vectorstore caching.
A smart job recommendation system using React, Node.js, MongoDB, and Cohere AI embeddings to match users with relevant roles based on their skills and experience.
This is a cute chatbot web app built with Streamlit and powered by Cohere's AI language model. Messages are stored using SQLite, and users can clear their chat history with a single click. Easy to set up and deploy, this app is perfect for learning or showing off a custom AI chatbot experience.
Review Summarizer is a Streamlit-based web app that uses Cohere's Large Language Model (LLM) to generate concise summaries from customer reviews. It simplifies long or detailed feedback into quick, meaningful insights using AI-powered text summarization.
TalentScout is an AI-powered hiring assistant that screens candidates, generates tech questions from their skills, and chats with context — built using Streamlit and Cohere.
🤖 AI-powered interview coaching chatbot built with Python, Streamlit, Claude 3.5, and Cohere embeddings — remembers chat history and delivers smart, context-aware career advice.
Streamlit dashboard for chat analysis: loads WhatsApp exports, cleans and aggregates messages, visualizes temporal trends, keywords, and word clouds, offers basic ML predictions, and integrates Cohere AI for natural-language queries and data-driven insights.
Add a description, image, and links to the cohere-api topic page so that developers can more easily learn about it.
To associate your repository with the cohere-api topic, visit your repo's landing page and select "manage topics."