Vector Use Case Catalog: A RAG Knowledge Base Implementation - Vector Intern Talks скачать в хорошем качестве

Vector Use Case Catalog: A RAG Knowledge Base Implementation - Vector Intern Talks

Eric Edem Dzeha and Nikki Smith's project focuses on the development and implementation of a Retrieval-Augmented Generation (RAG) solution tailored for Vector Institute’s diverse range of AI projects. This system efficiently catalogs and provides easy access to use cases from past projects, ensuring that relevant information can be retrieved on demand. The project involved structuring textual data from various sources, developing static and dynamic use case cards, and integrating these elements into a user-friendly interface. Key technologies include ChromaDB for data storage, Cohere for LLM-based query processing, and feature extraction for static card generation. The outcome is a comprehensive tool that streamlines project reference, supports research, and enhances operational efficiency. Advance your career in AI with Vector's internship program. Collaborate with leading AI developers on cutting-edge projects, gain invaluable insights through daily research talks, and benefit from professional development opportunities. Vector offers diverse internship tracks including Applied AI, Research, and specialized programs for Black and Indigenous students. Enhance your professional growth through Vector's Mentorship Program, pairing you with an AI expert from a sponsor organization to strengthen your technical and interpersonal skills. Take the next step in your AI journey. Learn more at: https://vectorinstitute.ai/programs/i...