--- title: "agentic-rag-for-dummies vs HippoRAG" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/giovannipasq-agentic-rag-for-dummies-vs-osu-nlp-group-hipporag" tools: ["giovannipasq-agentic-rag-for-dummies", "osu-nlp-group-hipporag"] --- # agentic-rag-for-dummies vs HippoRAG *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models; pick HippoRAG if hippoRAG is a RAG framework that integrates knowledge from external documents into LLMs, inspired by human long-term memory, and supports personalized page rank and knowledge graphs. [agentic-rag-for-dummies](https://github.com/GiovanniPasq/agentic-rag-for-dummies) reports 4.2k GitHub stars, 552 forks, and 0 open issues, last pushed Aug 30, 2026. [HippoRAG](https://arxiv.org/abs/2405.14831) has 4.0k stars, 428 forks, and 9 open issues, last pushed Sep 3, 2026. Figures are from public GitHub metadata via [agentic-rag-for-dummies's repository](https://github.com/GiovanniPasq/agentic-rag-for-dummies) and [HippoRAG's repository](https://github.com/OSU-NLP-Group/HippoRAG). | | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) | [HippoRAG](/tools/osu-nlp-group-hipporag.md) | | --- | --- | --- | | Tagline | A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents | A RAG framework enabling LLMs to integrate knowledge from external documents | | Stars | 4,188 | 4,012 | | Forks | 552 | 428 | | Open issues | 0 | 9 | | Language | Jupyter Notebook | Python | | Adopt for | Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. | HippoRAG is a RAG framework that integrates knowledge from external documents into LLMs, inspired by human long-term memory, and supports personalized page rank and knowledge graphs. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) | [HippoRAG](/tools/osu-nlp-group-hipporag.md) | | --- | --- | --- | | Days since push | 20d | 14d | | Open issues (now) | 0 | 9 | | Stars delta | +295 (30d) | +110 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust.md) | [trust report](/tools/osu-nlp-group-hipporag/trust.md) | ## Shared compatibility - **Python**: [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) - Python runtime; [HippoRAG](/tools/osu-nlp-group-hipporag.md) - Python runtime ## Decision facts: agentic-rag-for-dummies - **Adopt for:** Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. ## Decision facts: HippoRAG - **Requirements:** Ensure you have Python 3.10 installed.; Set environment variables such as `CUDA_VISIBLE_DEVICES`, `HF_HOME`, and `OPENAI_API_KEY` as needed.; Install HippoRAG using Conda or `uv` for a project-local environment. - **Adopt for:** HippoRAG is a RAG framework that integrates knowledge from external documents into LLMs, inspired by human long-term memory, and supports personalized page rank and knowledge graphs. ## Choose when ### Choose agentic-rag-for-dummies if… - agentic-rag-for-dummies is primarily Jupyter Notebook; HippoRAG is Python. - Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio. - Also covers AI Agents. - When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph. ### Choose HippoRAG if… - HippoRAG is primarily Python; agentic-rag-for-dummies is Jupyter Notebook. - Requirements: Ensure you have Python 3.10 installed.; Set environment variables such as `CUDA_VISIBLE_DEVICES`, `HF_HOME`, and `OPENAI_API_KEY` as needed.; Install HippoRAG using Conda or `uv` for a project-local environment.. - Tags unique to HippoRAG: external documents, knowledge graphs, knowledge integration, llms. - Also covers LLM Frameworks. - When you need a framework that integrates knowledge from external documents into LLMs in a manner inspired by human long-term memory. ## When NOT to use agentic-rag-for-dummies - If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details. - Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment. ## When NOT to use HippoRAG - If your project does not require the integration of knowledge from external documents into LLMs in a manner inspired by human long-term memory. - When personalized page rank and knowledge graphs are not necessary for your project's knowledge retrieval and integration needs. - If you are not using Python 3.10 or do not wish to manage a project-local environment with Conda or `uv`. ## Common questions ### What is the difference between agentic-rag-for-dummies and HippoRAG? agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. HippoRAG: A RAG framework enabling LLMs to integrate knowledge from external documents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentic-rag-for-dummies over HippoRAG? Choose agentic-rag-for-dummies over HippoRAG when agentic-rag-for-dummies is primarily Jupyter Notebook; HippoRAG is Python; Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio; Also covers AI Agents; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph. ### When should I choose HippoRAG over agentic-rag-for-dummies? Choose HippoRAG over agentic-rag-for-dummies when HippoRAG is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; Requirements: Ensure you have Python 3.10 installed.; Set environment variables such as `CUDA_VISIBLE_DEVICES`, `HF_HOME`, and `OPENAI_API_KEY` as needed.; Install HippoRAG using Conda or `uv` for a project-local environment.; Tags unique to HippoRAG: external documents, knowledge graphs, knowledge integration, llms; Also covers LLM Frameworks; When you need a framework that integrates knowledge from external documents into LLMs in a manner inspired by human long-term memory. ### When should I avoid agentic-rag-for-dummies? If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details. Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment. ### When should I avoid HippoRAG? If your project does not require the integration of knowledge from external documents into LLMs in a manner inspired by human long-term memory. When personalized page rank and knowledge graphs are not necessary for your project's knowledge retrieval and integration needs. If you are not using Python 3.10 or do not wish to manage a project-local environment with Conda or `uv`. ### Is agentic-rag-for-dummies or HippoRAG more popular on GitHub? agentic-rag-for-dummies has more GitHub stars (4,188 vs 4,012). Stars measure visibility, not whether either tool fits your constraints. ### Are agentic-rag-for-dummies and HippoRAG open source? Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, HippoRAG: MIT). ### Where can I find alternatives to agentic-rag-for-dummies or HippoRAG? GraphCanon lists graph-backed alternatives at [agentic-rag-for-dummies alternatives](/tools/giovannipasq-agentic-rag-for-dummies/alternatives) and [HippoRAG alternatives](/tools/osu-nlp-group-hipporag/alternatives) ([agentic-rag-for-dummies markdown twin](/tools/giovannipasq-agentic-rag-for-dummies/alternatives.md), [HippoRAG markdown twin](/tools/osu-nlp-group-hipporag/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/giovannipasq-agentic-rag-for-dummies-vs-osu-nlp-group-hipporag.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentic-rag-for-dummies or HippoRAG? agentic-rag-for-dummies: Active. HippoRAG: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentic-rag-for-dummies and HippoRAG? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic-rag-for-dummies trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust); [HippoRAG trust report](/tools/osu-nlp-group-hipporag/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=giovannipasq-agentic-rag-for-dummies`](/api/graphcanon/graph?tool=giovannipasq-agentic-rag-for-dummies) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_