Theoadu/faq-rag-chatbot
This project implements a Retrieval-Augmented Generation (RAG) system that provides accurate, context-aware answers to HR policy questions. Instead of relying solely on the LLM's pre-trained knowledge, the system retrieves relevant document chunks from a vector database and uses them as context for generating responses
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Nov 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Theoadu/faq-rag-chatbot"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
umbertogriffo/rag-chatbot
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual...
AleksNeStu/ai-real-estate-assistant
Advanced AI Real Estate Assistant using RAG, LLMs, and Python. Features market analysis,...
Azure-Samples/aisearch-openai-rag-audio
A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI...
ob-labs/ChatBot
ChatBot, show how to implement a RAG based on OceanBase or OceanBase seekdb AI capabilities...
stackitcloud/rag-template
Template for AI chatbots & document management using Retrieval-Augmented Generation with vector...