Practical overview
When it fits
Use it when surveying agentic RAG concepts or comparing possible workflow and architecture designs before choosing an implementation approach.
Who it is for
- Researchers studying agentic retrieval-augmented generation.
- Developers comparing architectural approaches for RAG systems.
- Practitioners seeking a structured overview of agentic workflows.
Documented uses
- Understand patterns such as reflection, planning, tool use and multi-agent collaboration.
- Compare single-agent, multi-agent, hierarchical, corrective, adaptive and graph-based RAG categories.
- Use the survey's taxonomy to organize or discuss agentic RAG architectures.
- Review application examples and challenges before exploring implementation approaches.
Requirements & limits
- The repository is a survey and reference resource rather than a deployable agent or implementation framework.
- Its coverage includes both system taxonomy and comparisons with traditional RAG and Agentic Document Workflows.
- The material also discusses applications and open challenges, including scalability and multimodal integration.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Use the survey to compare Agentic RAG workflow patterns
Review the survey’s workflow-pattern section and compare it with its taxonomy and analysis of RAG approaches.
Before you start
- Access to the public AgenticRAG-Survey repository.
Steps
Open the repository’s README and locate section 4, Agentic Workflow Patterns.
Review the survey’s described agentic patterns, including reflection, planning, tool use, and multi-agent collaboration.
Compare the workflow patterns with the repository’s taxonomy of Agentic RAG systems and its comparison of traditional RAG, Agentic RAG, and Agentic Document Workflows.
Expected outcome
A reference-based comparison of the survey’s workflow patterns and RAG categories.
Guide limitations
- The repository is a survey and reference resource; these steps do not implement or run an agentic RAG system.
- The README identifies topics and categories but does not provide a complete executable workflow in the documented material.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 16 October 2026
- Original website title
- asinghcsu/AgenticRAG-Survey · Official homepage title · retained in its source language

