Quickest way to production grade RAG UI.
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Updated
Apr 12, 2025 - TypeScript
Quickest way to production grade RAG UI.
Generate & Ship UI with minimal effort - Open Source Generative UI with natural language
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.
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
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.
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.
RAG enhances LLMs by retrieving relevant external knowledge before generating responses, improving accuracy and reducing hallucinations.
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.
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
A GenAI based search system that scans numerous fashion product descriptions to recommend suitable options based on user queries.
Chat-with-Your-Documents is an AI-powered document chatbot using RAG, FastAPI, and React.js for local PDF question answering.
It's an AI chatbot based on RAG pipeline for answering queries related to Sitare University.
This is a production-ready applications using RAG-based Language Model.
A Retrieval-Augmented Generation pipeline that enhances LLMs with external knowledge.
WebScraperAI is a powerful tool that enables users to perform question-answering on website content using web scraping and retrieval-augmented generation (RAG) with LlamaIndex. It supports multiple LLMs, including OpenAI GPT-3.5, GPT-4, Gemini Pro, Gemini Ultra, and DeepSeek.
Hybrid Search RAG Pipeline integrating BM25 and vector search techniques using LangChain
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