Cohere Cohere Embed Applications

Browse applications built on Cohere Cohere Embed technology. Explore PoC and MVP applications created by our community and discover innovative use cases for Cohere Cohere Embed technology.

MindSpeak - Visualizing Mental Health Support

MindSpeak is a groundbreaking project that leverages cutting-edge technologies to revolutionize mental health support. Mental health disorders are prevalent in our society, but due to stigmatization and lack of accessible information, many individuals face challenges in seeking help and finding accurate resources. The project combines the power of artificial intelligence, advanced embedding techniques, and immersive multimedia to offer an engaging and interactive platform for mental health support. The process begins with Chroma, an innovative tool that converts uploaded PDF files into vector representations. By employing advanced embedding techniques, Chroma ensures that the information is accurately captured and transformed into a format suitable for further processing. To enhance the quality of vectorization and improve the overall representation, Cohere comes into play. Cohere facilitates the embedding process, utilizing sophisticated algorithms to refine and enhance the vectorized data. This step ensures that the generated vectors are of high quality and accurately capture the nuances of the original content. One of the key features of MindSpeak is Stable Diffusion, a technology that enables the generation of coherent and visually appealing images based on the text generated by the model. By analyzing the textual information, Stable Diffusion generates images that align with and enhance the provided content. To further enhance the user experience and accessibility, MindSpeak incorporates Elevenlabs, a powerful tool that converts text into speech. This feature allows the generated content to be conveyed audibly, adding an immersive audio component to the multimedia animations.

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ChromaCohereCohere EmbedStable Diffusion


Imagine reading a complex text, say Keynes's General Theory, and struggling to comprehend the intricate concepts. Now, imagine an intelligent assistant that takes these abstract concepts and links them to real-world scenarios and current events you care about - making learning not only simpler, but also engaging and relatable. That's exactly what MintAI offers! MintAI is your AI-powered personal learning assistant, transforming the way we approach learning complex material. It bridges the gap between theory and practice, enhancing your understanding and retention of information. But, it's not just about simplifying the material - MintAI is built on a sophisticated AI that understands your unique learning style and personalizes the content accordingly. What's more? You are part of an active learning community! MintAI encourages you to upload materials, interact with the AI, and comment on real-world events with an understanding of theoretical concepts. As a result, you're not just learning - you're applying your knowledge and contributing to the learning of others. At the core of our business model is a subscription service that offers access to premium features and personalized content. This ensures a sustainable and continuous platform enhancement, making MintAI your lifelong learning partner. Join us as we revolutionize the learning experience, making it easier, more engaging, and highly personalized. Welcome to MintAI – your future of learning.

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LangChainAWS SageMakerCohere EmbedAnthropic Claude

Fetcher the work sidekick

In today's increasingly remote working style, organization’s messaging system, whether it's email or chat, contains lots of invaluable institutional knowledge. However, because these data are often unstructured and scattered, they are usually buried in the organization’s data ecosystem and are hard to search and extract value. Fetcher is a chatbot that integrates into popular chat platforms such as Discord and Slack to seamlessly help users find relevant people and documents to save them from endless frustrating search. It does this by semantically searching chat messages to find the most relevant results and help to deliver actions that leads to a peace of mind. Fetcher differs from traditional keyword search engines in that it searches by the meaning of the query, not just by keywords. It also enables multi lingual search, so that global teams can more quickly find important information even when language is a barrier. Since Fetcher searches in the embedding space, this search engine can extend to multi modal modes that includes audio and images. Fetcher works by collecting a chat channel’s history and embedding them using Cohere’s Embed API, then saving the embeddings to Qdrant’s vector search engine. When a new query comes in, Fetcher embeds the query and searches against the vector database to find the most relevant results, which can then feed into Cohere’s Generate API to summarize the message thread to kick start new conversations. Fetcher offers 3 commands, /fetch, using vector similarities search to find relevant chat messages. /discuss, summarize a message thread, and kick start a conversation with a channel number. /revise, a sentence correction tool similar to Grammarly, allows user to send professional sounding messages.

CohereCohere GenerateCohere EmbedQdrant


Our project is aimed at developing a comprehensive legal document search system that makes use of advanced technologies to retrieve relevant legal documents that can be relied upon in court. The system utilizes Cohere's multilingual embedding and Qdrant vector database to provide fast and efficient search results. The use of multilingual embedding ensures that the system is capable of searching through legal documents written in various languages, making it suitable for use in multilingual environments. Qdrant vector database, on the other hand, allows for fast and efficient indexing of large volumes of legal documents, thus reducing search time. Our legal document search system is particularly useful for law firms, legal practitioners, and businesses that require access to legal documents for various purposes, including legal research, contract negotiations, and dispute resolution. With our system, users can easily retrieve legal documents that have been signed by mutual assent, thus ensuring that they are reliable and admissible in court. In addition to the legal document search functionality, we have also implemented a question answering system using Cohere's generate endpoint. This feature enables users to ask specific questions related to the legal documents they have retrieved and receive accurate and relevant answers. The question answering system is particularly useful for legal practitioners who require quick access to specific information in legal documents. Overall, our legal document search system provides an efficient and reliable solution for users who require access to legal documents. By leveraging advanced technologies such as Cohere's multilingual embedding and Qdrant vector database, we have developed a powerful search system that can save time and improve productivity for legal practitioners and businesses alike.

The Meowsterminds
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CohereCohere GenerateCohere EmbedQdrant

Fudl app

Are you tired of overspending on groceries every month and wasting your time reviewing supermarkets' promo materials? Fudl is the answer to all your problems! Our revolutionary AI-powered app is designed to help you save money on your grocery bill without compromising on quality. With Fudl, you can plan your purchases, analyze discounts and special offers, discover analogs of products you need for less price, find more savings with value-sized items, and send your orders directly to the delivery service. Let me explain all the features in a more detailed way: By using Fudl's personalized recommendations, you can use your grocery budget to find the best deals on the products you need. Fudl's AI technology analyzes your shopping list, gives you recommendations based on your individual preferences, and suggests alternative products that are just as good, if not better, at a lower cost. Fudl's innovative technology also allows you to split one order into several from different grocery chains, which can save you up to 50% on your grocery bill. This means you can buy in for the next week or plan your purchases for the weeks ahead, without worrying about overspending. Using Fudl to split your order, you can save money and collect additional points from grocery loyalty programs while still getting the needed products. Fudl uses databases from online stores to provide you with the best possible recommendations. For this example, we tested our algorithms on three major chains in Slovenia - Mercator, Spar, and Tus and got phenomenal savings from 10 to 40% on single bills. To find the most successful alternative for each product, we utilize the power of AI to determine its coordinates in a multidimensional space. By doing so, we can identify products that are similar in quality, volume, and other characteristics. Our intelligent algorithms then display the closest analogs to the original product, giving you the information you need to make an informed purchase decision.

Fudl team
OpenAI gymCohere EmbedDALL-E-2