rag-pipeline
There are 13 repositories under rag-pipeline topic.
Clearedge-AI/clearedge
Build a RAG preprocessing pipeline
Julian-AT/synth-ui
Generate & Ship UI with minimal effort - Open Source Generative UI with natural language
MaxMLang/RAG-nificent
RAG-nificent is a state-of-the-art framework leveraging Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs containing information on any given topic. Supports Llama3.1 and OpenAI Models via the Groq API.
AnasAber/RAG_in_CPU
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
Dynatrace/obslab-llm-observability
Search for a holiday and get destination advice from an LLM. Observability by Dynatrace.
teddy-ambona/openai-rag-chatbot
Demo LLM (RAG pipeline) web app running locally using docker-compose. LLM and embedding models are consumed as services from OpenAI.
mistir-nigusse/LLM_Prompt_Engine
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.
dynamicanupam/Fashion_Recommendation_System_using_RAG_pipeline
A GenAI based search system that scans numerous fashion product descriptions to recommend suitable options based on user queries.
AnasAber/MLflow_with_RAG
Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq
nelima22/hybrid_search_rag_pipeline
Hybrid Search RAG Pipeline integrating BM25 and vector search techniques using LangChain
olifarhaan/rag-console-chat
This project implements document ingestion, embedding generation, and retrieval-augmented generation (RAG). If you are looking for a small project to understand the implementation of basic RAG then this project is good to go.
siddhantprateek/bitrac-rag
This is a production-ready applications using RAG-based Language Model.
simranjeet97/Learn_RAG_from_Scratch_LLM
Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python