The .NET library to consume 100+ APIs: OpenAI, Anthropic, Google, DeepSeek, Cohere, Mistral, Azure, xAI, Perplexity, Groq, Ollama, vLLM, and many more!
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Updated
May 13, 2025 - C#
The .NET library to consume 100+ APIs: OpenAI, Anthropic, Google, DeepSeek, Cohere, Mistral, Azure, xAI, Perplexity, Groq, Ollama, vLLM, and many more!
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.
A Telegram bot that leverages the Cohere API to provide intelligent responses and assistance.
A Ruby gem for interacting with Cohere AI Platform.
Cohere's command-xlarge model, built with Streamlit for interactive user interface. It processes user input and generates responses in real-time.
This application leverages the power of AI to provide concise and accurate summaries, helping you save time and understand the core ideas of any lengthy text.
Pet description generator and translator software using Dash, Flask, MarianMT, and Cohere
Through conversational journaling, this app fosters reflection for emotional well-being. Started during cmd-f, 2024
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.
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.
Designed an AI-powered travel itinerary generator for trips in Pakistan, using Cohere's AI model to create organized itineraries based on travel times, routes, and local events. Developed a user-friendly Streamlit interface for inputting trip details, integrated PDF downloads, and implemented session management for seamless navigation.
LLM-based YouTube Assistant for answering video-related questions.
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