ragent
Enterprise-grade Agentic RAG agent covering the full workflow from document parsing to retrieval.
- 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
Pros
- +Improves information retrieval efficiency
- +Enhances user experience
- +Simplifies complex task handling
Limitations / notes
- -May require some time to learn
Who it's for
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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