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ragent

Enterprise-grade Agentic RAG agent covering the full workflow from document parsing to retrieval.

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Region
Unknown
Pricing
Free
Open source
Yes
GitHub Stars
★ 2.6k
Source
GitHub
Added
2026-06-04
Last verified
2026-06-04

Overview

ragent is an enterprise-grade Agentic RAG agent that enables end-to-end functionality including document parsing, multi-path retrieval, intent recognition, query rewriting, conversation memory, and MCP tool invocation. Designed to address real-world information processing challenges in business scenarios, it leverages deep thinking technology to deliver more accurate results. Ideal for organizations needing efficient management and utilization of large volumes of document assets.

Key features

  • Full workflow coverage for document parsing
  • Supports multi-path retrieval and intent recognition
  • Features query rewriting capability
  • Integrates conversation memory
  • Can invoke MCP tools
  • Employs deep thinking technology

Use cases

Enterprise internal knowledge managementCustomer service automationSolutions for document-intensive industries

Pros

  • Improves information retrieval efficiency
  • Enhances user experience
  • Simplifies complex task handling

Limitations / notes

  • May require some time to learn

Who it's for

Large enterprisesSmall and medium-sized businessesCustomer service teamsIT departments

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

ragent主要解决什么问题?

解决企业中关于文档管理和信息检索的效率问题。

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