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.

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

Vectara HHEM model to reduce Hallucination in RAG models

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

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

Search for Hacker News, by Vectara

Different approaches to evaluate RAG !!!

A python library for creating AI assistants with Vectara, using Agentic RAG

Index contents from a GitHub repository to Vectara

Scripts and documents related to the Vectara RAG hacakthon

Improve your Elasticsearch, OpenSearch, Solr, Vectara, Algolia and Custom Search search quality.