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2.18.0

reichenbach

Rishav Chandra Varma@reichenbach

1

Events attended

1

Submissions made

India

3+ years of experience

I built with

Cohere CoralQdrant

Socials

🀝 Top Collaborators

smiral_rashinkar150 img

Smiral Rashinkar

πŸ€“ Latest Submissions

    LegalFruit

    LegalFruit

    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.

    Hackathon link

    17 Mar 2023

πŸ‘Œ Attended Hackathons

    Llama 2 Hackathon with Clarifai

    Llama 2 Hackathon with Clarifai

    ⌚ 3-day AI Hackathon πŸš€ Compete to build an AI app powered by Llama 2 πŸ’‘ Learn how to extend your capabilities with Clarifai! πŸŽ“ Mentors are available to support you during your creative journey

    Google Vertex AI Hackathon

    Google Vertex AI Hackathon

    πŸš€πŸ’» Be the first to build an AI App on Google's models! Hackathon on July 7-10. πŸ”¬πŸŒ Try new Vertex AI features from Google Cloud Platform. 🀝🌍 Learn from AI leaders and connect with like-minded people. πŸ› οΈπŸ“± Build apps with the world's best AI tools! πŸ’‘πŸŒ Solve real-world problems with Generative AI models

    Cohere and Qdrant Multilingual Semantic Search Hackathon

    Cohere and Qdrant Multilingual Semantic Search Hackathon

    πŸ—“οΈ Take part in this 7-day virtual hackathon from March 10 to March 17! πŸ’» Create AI applications utilizing Cohere's LLM-powered Multilingual Text Understanding model and Qdrant's vector search engine. βœ”οΈ Are you new to AI or an experienced data scientist? Designer, or business developer? Regardless of your experience and background, we welcome you and value your domain expertise. πŸ±β€πŸ’» Join us for free and let's get started!

πŸ“ Certificates

    Cohere and Qdrant Multilingual Semantic Search Hackathon

    Cohere and Qdrant Multilingual Semantic Search Hackathon | Certificate

    View Certificate