Rishikesh-Jadhav/LLM-and-RAG-based-Chat-Application-with-AlloyDB-and-Vertex-AI
This repository showcases an implementation of a chat application leveraging the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). By integrating AlloyDB and Vertex AI, the application delivers precise, contextually relevant responses to flight and airport inquiries.
No commits in the last 6 months.
Stars
2
Forks
—
Language
—
License
—
Category
Last pushed
Oct 26, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/Rishikesh-Jadhav/LLM-and-RAG-based-Chat-Application-with-AlloyDB-and-Vertex-AI"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
JGalego/RAGmap
A simple Streamlit application to visualize document chunks and queries in embedding space 🗺️🔍
noi-techpark/stuart-chatbot
Stuart is simple RAG System, that the Open Data Hub uses as a chatbot to help the Open Data Hub...
lycoai/ducky-cookbook
Examples and guides for using the Ducky.ai API
ManiAm/RAG-Search
RAG-Search is a web-based chat interface that combines LLMs with document-aware retrieval for...
arsath-eng/RAG1-NVIDIA-GENAI
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and...