AgenticRAG-Survey
★ 1.7k
vs
pipeshub-ai
★ 3.8k
AgenticRAG-Survey vs pipeshub-ai
AgenticRAG-Survey: This repository serves as a comprehensive survey on Agentic Retrieval-Augmented Generation (Agentic RAG), a transformative AI paradigm integrating autonomous agents into RAG pipelines. It details foundational principles, taxonomy, comparative analysis, real-world applications, challenges, and future directions for researchers and practitioners.; pipeshub-ai: PipesHub is an open-source platform that connects AI applications to your company's knowledge across various business systems like Slack, Google Drive, and GitHub. It provides permission-aware search and contextual information for AI agents, allowing them to deliver grounded, cited answers.
01
TL;DR
AgenticRAG-SurveyRAG / Knowledge Base · ★ 1.7k
Enhanced medical diagnostics and information retrieval in healthcare.
pipeshub-aiRAG / Knowledge Base · ★ 3.8k
When to choose:
- Knowledge is spread across Slack, Drive, GitHub, Microsoft 365, Notion and other tools, and you want one search with citations.
- Answers must respect each person's access: permissions are checked against the source system at query time.
- You want to self-host with your own LLM provider and give the same context to agents through MCP.
When to skip:
- You only need one app such as Jira or Slack: a single MCP server is far lighter.
- You cannot run several services (graph database, message broker, key-value store) on a properly sized server.
- You want a managed cloud version: the README lists it as coming soon.
02
Side-by-Side Comparison
Field
AgenticRAG-Surveypipeshub-aiCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 1.7k
★ 3.8k
License
—
Apache-2.0
Install Command
git clone https://github.com/asinghcsu/AgenticRAG-Survey.git
curl -fsSL https://get.pipeshub.com/install | bash
Updated
1y ago
1d ago
Open Source
Yes
Yes
Tags
Agentic RAG, LLM, AI Agents
Workplace AI, Knowledge Management, RAG
03
Features
AgenticRAG-Survey01Comprehensive exploration of Agentic Patterns like reflection, planning, and tool use.
02Detailed taxonomy of Agentic RAG systems, including single-agent, multi-agent, and hierarchical architectures.
03Comparative analysis highlighting distinctions between Traditional RAG, Agentic RAG, and Agentic Document Workflows (ADW).
04Discussion of various Agentic Workflow Patterns for dynamic collaboration and efficiency (e.g., Prompt Chaining, Routing, Parallelization).
05Identification of key challenges and future research directions for Agentic RAG, covering scalability, ethical AI, and multimodal integration.
pipeshub-ai01Explainable Answers with Citations
02Permission-Aware Search
03Bring Your Own Model, Fully Self-Hostable
0450+ Enterprise Connectors with Real-time Indexing
05Knowledge Graph Retrieval and Multimodal Support
04
Use Cases
AgenticRAG-Survey↳Enhanced medical diagnostics and information retrieval in healthcare.
↳Advanced financial analysis and risk assessment.
↳Streamlined legal research and compliance analysis.
pipeshub-ai↳Securely provide company knowledge to coding assistants (Claude Code, Cursor, Codex)
↳Power private enterprise search and Q&A with real-time, cited results
↳Build no-code AI agents and workflows that execute actions across enterprise tools
↳Develop custom applications and agents using SDKs with permission-filtered context
05
Best For
AgenticRAG-Survey—
pipeshub-aiEssentialTrending
FAQ
FAQ
What is the difference between AgenticRAG-Survey and pipeshub-ai?
Both AgenticRAG-Survey and pipeshub-ai are in the RAG / Knowledge Base category. AgenticRAG-Survey has 1.7k stars, while pipeshub-ai has 3.8k stars.
Which is better, AgenticRAG-Survey or pipeshub-ai?
The best choice depends on your use case. Choose AgenticRAG-Survey if Enhanced medical diagnostics and information retrieval in healthcare., and pipeshub-ai if Securely provide company knowledge to coding assistants (Claude Code, Cursor, Codex).
Is AgenticRAG-Survey free or open source?
Yes, AgenticRAG-Survey is open source on GitHub.
Is pipeshub-ai free or open source?
Yes, pipeshub-ai is open source on GitHub (Apache-2.0).
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