Generate & Ship UI with minimal effort - Open Source Generative UI with natural language
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Updated
Apr 30, 2025 - TypeScript
Generate & Ship UI with minimal effort - Open Source Generative UI with natural language
Quickest way to production grade RAG UI.
Build a RAG preprocessing pipeline
Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.
Search for a holiday and get destination advice from an LLM. Observability by Dynatrace.
Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python
Demo LLM (RAG pipeline) web app running locally using docker-compose. LLM and embedding models are consumed as services from OpenAI.
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
AI-driven prompt generation and evaluation system, designed to optimize the use of Language Models (LLMs) in various industries. The project consists of both frontend and backend components, facilitating prompt generation, automatic evaluation data generation, and prompt testing.
This research aims to develop an AI Legal Chain Resolver using Mixture-of-Experts and a multi-agent system to provide tailored legal guidance. It simplifies legal navigation across statutes, precedents, and regulations while offering legal assistance through a conversational system to enhance accessibility and understanding.
RAG enhances LLMs by retrieving relevant external knowledge before generating responses, improving accuracy and reducing hallucinations.
Project Agora: An expert system for the Google ADK, powered by a hierarchical multi-agent framework to automate code generation, architecture, and Q&A.
Git Your Code implements a cutting-edge Retrieval-Augmented Generation (RAG) architecture designed for deep semantic analysis of GitHub repositories. The system leverages vector embeddings, natural language processing, and machine learning to provide intelligent code comprehension and query capabilities.
Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq
Powerful framework for building applications with Large Language Models (LLMs), enabling seamless integration with memory, agents, and external data sources.
It's an AI chatbot based on RAG pipeline for answering queries related to Sitare University.
IBM Call for Code 2025
NewsMate is a full-stack AI chatbot that answers news-related queries using a RAG pipeline. It features Xenova embeddings, Qdrant vector search, Gemini API, Redis-based session handling, and a modern React + Tailwind CSS frontend.
RAG & LLM with Pathway to Process your Financial Reports and Tables from both structured data (tables) & unstructured data (text/images) with Claude Sonet 3.5 using Google Drive Connector of Pathway using streamlit
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