Category: documents
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A Complete Guide to Using Cohere AI
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Introduction This guide primarily introduces the readers to Cohere, an Enterprise AI platform for search, discovery, and advanced retrieval. Leveraging state-of-the-art Machine Learning techniques enables organizations to extract valuable insights, automate tasks, and enhance customer experiences through advanced understanding. Cohere empowers businesses and individuals across industries to unlock the full potential of their textual data,…
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RAG Application with Cohere Command-R and Rerank – Part 1
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Introduction The Retrieval-Augmented Generation approach combines LLMs with a retrieval system to improve response quality. However, inaccurate retrieval can lead to sub-optimal responses. Cohere’s re-ranker model enhances this process by evaluating and ordering search results based on contextual relevance, improving accuracy and saving time for specific information seekers. This article provides a guide on implementing…
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RAG and Streamlit Chatbot: Chat with Documents Using LLM
Introduction This article aims to create an AI-powered RAG and Streamlit chatbot that can answer users questions based on custom documents. Users can upload documents, and the chatbot can answer questions by referring to those documents. The interface will be generated using Streamlit, and the chatbot will use open-source Large Language Model (LLM) models, making…