--- title: "HippoRAG vs rag-demystified" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/osu-nlp-group-hipporag-vs-pchunduri6-rag-demystified" tools: ["osu-nlp-group-hipporag", "pchunduri6-rag-demystified"] --- # HippoRAG vs rag-demystified *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick rag-demystified if key facts for 'rag-demystified'. [HippoRAG](https://arxiv.org/abs/2405.14831) reports 4.0k GitHub stars, 428 forks, and 9 open issues, last pushed Sep 3, 2026. [rag-demystified](https://github.com/pchunduri6/rag-demystified) has 859 stars, 56 forks, and 2 open issues, last pushed Jan 26, 2024. Figures are from public GitHub metadata via [HippoRAG's repository](https://github.com/OSU-NLP-Group/HippoRAG) and [rag-demystified's repository](https://github.com/pchunduri6/rag-demystified). | | [HippoRAG](/tools/osu-nlp-group-hipporag.md) | [rag-demystified](/tools/pchunduri6-rag-demystified.md) | | --- | --- | --- | | Tagline | A RAG framework enabling LLMs to integrate knowledge from external documents | An LLM-powered advanced RAG pipeline built from scratch | | Stars | 4,012 | 859 | | Forks | 428 | 56 | | Open issues | 9 | 2 | | Language | Python | Python | | 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. | Key facts for 'rag-demystified' | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [HippoRAG](/tools/osu-nlp-group-hipporag.md) | [rag-demystified](/tools/pchunduri6-rag-demystified.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 14d | 968d | | Open issues (now) | 9 | 2 | | Stars delta | +110 (30d) | +1 (30d) | | Open issues delta | +2 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/osu-nlp-group-hipporag/trust.md) | [trust report](/tools/pchunduri6-rag-demystified/trust.md) | ## Shared compatibility - **Python**: [HippoRAG](/tools/osu-nlp-group-hipporag.md) - Python runtime; [rag-demystified](/tools/pchunduri6-rag-demystified.md) - Python runtime ## 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. ## Decision facts: rag-demystified - **Adopt for:** Key facts for 'rag-demystified' ## Choose when ### Choose HippoRAG if… - License: HippoRAG is MIT, rag-demystified is Apache-2.0. - 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. - When you need a framework that integrates knowledge from external documents into LLMs in a manner inspired by human long-term memory. ### Choose rag-demystified if… - License: rag-demystified is Apache-2.0, HippoRAG is MIT. - Tags unique to rag-demystified: ai, chatgpt, gpt, llm. - Use when you want an in-depth understanding and customization of the RAG pipeline as it is built from scratch, enabling a deep dive into implementation details. ## 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`. ## When NOT to use rag-demystified - Not suitable for those needing out-of-the-box solutions or users who prefer using pre-configured RAG tools as it requires detailed coding knowledge. - Avoid if the project timeline is tight since building and customizing from scratch can be time-consuming compared to other available pre-built options. ## Common questions ### What is the difference between HippoRAG and rag-demystified? HippoRAG: A RAG framework enabling LLMs to integrate knowledge from external documents. rag-demystified: An LLM-powered advanced RAG pipeline built from scratch. See the comparison table for live GitHub stats and shared categories. ### When should I choose HippoRAG over rag-demystified? Choose HippoRAG over rag-demystified when License: HippoRAG is MIT, rag-demystified is Apache-2.0; 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; 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 choose rag-demystified over HippoRAG? Choose rag-demystified over HippoRAG when License: rag-demystified is Apache-2.0, HippoRAG is MIT; Tags unique to rag-demystified: ai, chatgpt, gpt, llm; Use when you want an in-depth understanding and customization of the RAG pipeline as it is built from scratch, enabling a deep dive into implementation details. ### 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`. ### When should I avoid rag-demystified? Not suitable for those needing out-of-the-box solutions or users who prefer using pre-configured RAG tools as it requires detailed coding knowledge. Avoid if the project timeline is tight since building and customizing from scratch can be time-consuming compared to other available pre-built options. ### Is HippoRAG or rag-demystified more popular on GitHub? HippoRAG has more GitHub stars (4,012 vs 859). Stars measure visibility, not whether either tool fits your constraints. ### Are HippoRAG and rag-demystified open source? Yes - both are open-source projects on GitHub (HippoRAG: MIT, rag-demystified: Apache-2.0). ### Where can I find alternatives to HippoRAG or rag-demystified? GraphCanon lists graph-backed alternatives at [HippoRAG alternatives](/tools/osu-nlp-group-hipporag/alternatives) and [rag-demystified alternatives](/tools/pchunduri6-rag-demystified/alternatives) ([HippoRAG markdown twin](/tools/osu-nlp-group-hipporag/alternatives.md), [rag-demystified markdown twin](/tools/pchunduri6-rag-demystified/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/osu-nlp-group-hipporag-vs-pchunduri6-rag-demystified.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, HippoRAG or rag-demystified? HippoRAG: Active. rag-demystified: Dormant. 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 HippoRAG and rag-demystified? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [HippoRAG trust report](/tools/osu-nlp-group-hipporag/trust); [rag-demystified trust report](/tools/pchunduri6-rag-demystified/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=osu-nlp-group-hipporag`](/api/graphcanon/graph?tool=osu-nlp-group-hipporag) - 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/_