Found 70 repositories(showing 30)
itanishqshelar
SmartRAG is a privacy-first multimodal RAG system that lets you chat intelligently with your documents, images, and audio. Upload PDFs, Word files, or recordings and get accurate, context-aware answers all processed locally on your device with no external APIs.
aymenfurter
Deep Research through Multi-Agents, using GraphRAG
byerlikaya
Multi-Modal RAG for .NET — query databases, documents, images and audio in natural language. Production-ready with multi-AI support, vector storage, and multi-database coordination.
gaojingsheng
Original implementation of SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback (ICLR 2025)
co-dev0909
No description available
aimaster-dev
SmartRAG is a terminal-based RAG system using LangGraph. It processes queries by retrieving relevant content from markdown or PDFs, then responds using OpenAI GPT. Supports webpage-to-PDF conversion, vector DB search, and modular flow control.
darktheorys
Towards Smarter and Context-Aware Retrieval Augmented Generation with LLMs
CharmingDaiDai
No description available
arsalanafzal010
📄 Enable smart conversations with documents, images, and audio files using this advanced Retrieval-Augmented Generation system.
Sahithivengalatooru
personalized assistance
TrixCoder
No description available
Kayne64
Smart Ragdoll Script
Shahbaz1234567
SmartRAG-Assistant/GenAI-Assistant leverages advanced LLM models and Nvidia APIs for efficient query handling and document summarization. It integrates LlamaParse for structured data extraction, HuggingFace embeddings for vectorization, and PineconeDB for efficient retrieval, ensuring precise answers to user queries.
Muhammad-Faizaan
No description available
mmc185
Intelligent Document Question-Answering System with Adaptive Retrieval
No description available
10Prachi2006
SmartRAG: Gemini-Powered Conversational Decision Support Agent Overview SmartRAG is a next-generation RAG-based decision support dashboard powered by Google Gemini 2.5.
A RAG-based document QA system with a Redis-powered semantic cache that caches query embeddings and generated answers using vector similarity instead of exact matching. In this a similarity router decides whether to reuse cached responses, reuse retrieved documents, or run full retrieval and generation.
wujiajun1154
SmartRAG · 轻量级网络搜索＋rag检索增强对话系统
AZEGHAANICET
No description available
lin2673338327-crypto
No description available
Abhilashaaaaaa13
No description available
bhargavi32
Production-ready Retrieval-Augmented Generation (RAG) system with FastAPI, dual vector stores (ChromaDB/Pinecone), multi-format document ingestion (PDF/URLs), OpenAI integration, and semantic search capabilities.
xiehuacheng
一个用于学习的简单 Agent 系统，附带 RAG 功能
KankaveeRamsri
No description available
ishu3022
No description available
AmarnathaGowda
RAG-based Knowledge Management System
aditi644
An advanced, production-quality RAG (Retrieval-Augmented Generation) pipeline built without LangChain, using native OpenAI APIs and ChromaDB. This project demonstrates intelligent document ingestion, LLM-powered chunking, vector storage, and sophisticated query answering with reranking and query rewriting.
Jmiwa
No description available
itsmuhammed24
Intelligent information extraction from PDFs