vectara

RAG evaluation without the need for "golden answers"

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

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

Search for Hacker News, by Vectara

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.

Index contents from a GitHub repository to Vectara

The Hallucination Detector is a Chrome extension + FastAPI backend that evaluates AI‑generated text (from ChatGPT, Gemini, Claude, etc.) for hallucinations using a Natural Language Inference (NLI) model. It provides real‑time classification of text into categories like Safe, Suspicious, or Highly Hallucinated, helping users quickly judge the reliab

Scripts and documents related to the Vectara RAG hacakthon

contribution to the vectara hackathon

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.

Vectara is a neural search platform, built for developers to get the most out of their data

Different approaches to evaluate RAG !!!

C# SDK for the Vectara API -- RAG and semantic search