企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景，从 0 到 1 完整工程实现。

When RAG and agents fall in love

WebRAgent is a retrieval-augmented generation (RAG) web application featuring agent-based query decomposition, vector search with Qdrant, and integration with leading LLM providers for context-rich, dynamic responses.

Парсер технологического журнала 1С (ТЖ) для анализа длительных операций: восстановление операций пользователя и фоновых заданий с загрузкой данных в ClickHouse и анализом в 1С.

Probably one of the lightest native RAG + Agent apps out there，experience the power of Agent-powered models and Agent-driven knowledge bases in one click, without complex configuration.

Repository for the SIGIR LiveRAG challenge: "RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering"

A Nagios-compatible monitoring agent

Build a RAG agent for your codebase (+ websearch-grounded!)

CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector) with OpenSearch. Features MCP server, Slack bot, Web UI, multi-source ingestion (local/S3/GitHub), and multi-provider embeddings (Bedrock/Gemini).

No description available

Claude Code in a sandboxed Docker container. Access from any browser — your AI sees only what you give it.

Ragent：一个专业领域知识图谱增强的RAG框架

Seamless remote AI coding sessions — SSH + tmux + auto-reconnect + transparent file interception

ragent: Playing with Agents in R

Production-Ready Agentic RAG Framework with Intelligent Decision Trees and Logic-LLM Integration

RAGent Chatbot is a smart AI assistant that combines Retrieval-Augmented Generation (RAG) with a tool-using LLM agent. It can answer user queries using uploaded documents, perform web searches, summarize text, solve math expressions, check weather, and more — all powered by LangChain, Qdrant, and Gemini.

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ragents client libraries for JavaScript

A code practice agent library implementation

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A retrieval augmented generation system for showcasing generative query expansion and domain-specific search for scientific Q&A

Dependency Injection, Events, Services

让RAG具备行动力（Make RAG Agentic）

RAGentic.ai is an Autonomous Research Assistant built using Agentic AI and Retrieval-Augmented Generation (RAG). It autonomously plans research, retrieves relevant knowledge, reasons over sources, and delivers grounded insights.

This project is a Question & Answering system designed to provide deep insights from complex business documents, such as corporate 10-K SEC filings.

Multi-agent investment committee framework with independent research and decision-making on individual stocks

No description available

Local-first RAG assistant: query your own docs with LLMs (OpenAI/Ollama). Fast, private, and context-grounded answers.

BOSSWAVE Remote Agent

No description available