Advanced RAG Hackathon

Start

by Simon Olson, Co-Founder of New Native 

Hackathon Kick Off - Lablab.ai Introduction

by Ofer Mendelevitch, Head of Developer Relations

Vectara Opening Words

Together Opening Words

LlamaIndex Opening Words

by Chris Maddock, Head of Product Marketing 

Unstructured Opening Words

Tonic Opening Words

General Q&A session on Discord

Tools for building UI for AI

Advanced RAG workshop

Embodies a forward-thinking team dedicated to the intersection of AI and information security.

InfoGuard AI

serchdavila1

SecureSpeak Enterprise emerges as a cutting-edge solution in the realm of secure digital communication, catering to the pressing need for privacy and data integrity in business interactions. At its foundation lies a sophisticated self-deployed language model, designed to scrutinize user inputs instantaneously, censoring any sensitive information with a blend of pre-configured rules and insights gleaned from historical data. This ensures that every piece of information is treated with the utmost confidentiality right from the start.

SecureSpeak employs an innovative dual-storage system. This system archives both the original and the censored versions of inputs within SQL and vector databases, facilitating not only robust data management but also seamless retrieval and analysis. This strategic approach to data storage preserves the context and meaning of information, all while upholding stringent confidentiality standards.

Central to SecureSpeak’s functionality is its use of Retrieval-Augmented Generation (RAG), powered by Vectara. This mechanism enriches the platform's responses with semantically related content from an extensive corporate database, alongside the capability to perform on-demand, context-specific queries. This not only enhances the relevance and accuracy of the responses but also ensures they remain within the bounds of privacy regulations.

The SecureSpeak journey extends beyond immediate data processing to include the active refinement and application of collected insights. This process serves to enhance the overall user experience significantly, turning raw data into a strategic asset. Additionally, the system's language model is subject to ongoing fine-tuning, learning continuously from processed data to elevate its performance in censoring and generating responses. Through these meticulously designed features and processes, SecureSpeak Enterprise sets a new standard in secure, intelligent, and privacy-conscious digital communication.

SecureSpeak Enterprise enhances communication with AI-driven censorship and data security, offering real-time sensitive data handling and context-aware responses. Ensuring privacy, accuracy, and transforms data into insights for a better user experience.

"InfoGuard AI team on Advanced RAG Hackathon Hackathon"

Team Idea

Submission