This is a an Advanced RAG system, where I tried to make it functioning in regular PC with a CPU using all free resources, using APIs and tools to make it happen.

A C++ library providing access to Cohere's API.

Generated C# SDK based on official Cohere OpenAPI specification

A Ruby gem for interacting with Cohere AI Platform.

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.

Through conversational journaling, this app fosters reflection for emotional well-being. Started during cmd-f, 2024

LLM-based YouTube Assistant for answering video-related questions.

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.

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.