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Vectara HHEM model to reduce Hallucination in RAG models

An experimental open-source attempt to make GPT-4 fully autonomous. This fork implements Vectara as a memory backend.

LegiSense is a LabLabAI hackathon project that combines a Node.js Express server with the Vectara API for legislative data, featuring a user-friendly Flutter Flow frontend. It provides a seamless way to access and interact with legislative information, making it an essential tool for tracking and analyzing legislation.

Scripts and documents related to the Vectara RAG hacakthon

Index contents from a GitHub repository to Vectara

MedMind: An AI-Powered Chatbot for Medical Information Retrieval and Summarization

Built an RAG-Based-App using Vectara HHEM (Hallucination Evaluaton Model) for Hackathon on lablab.ai

🌟Vectonic - Optimized App Creator And Publisher🌟 produces an optimized application and shares it privately and securely to huggingface so that junior executives can immediately produce a high performance knowledge retrieval application for enterprise.

contribution to the vectara hackathon