--- title: "rags vs SAG" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/run-llama-rags-vs-zleap-ai-sag" tools: ["run-llama-rags", "zleap-ai-sag"] --- # rags vs SAG *GraphCanon updated Aug 23, 2026* ## Verdict Pick rags if decision-critical facts for 'rags':; pick SAG if sAG is a document retrieval project built with TypeScript to aid in efficient search and retrieval within knowledge bases. [rags](https://github.com/run-llama/rags) reports 6.5k GitHub stars, 656 forks, and 37 open issues, last pushed Apr 5, 2024. [SAG](https://zleap.com) has 2.4k stars, 148 forks, and 2 open issues, last pushed Aug 22, 2026. Figures are from public GitHub metadata via [rags's repository](https://github.com/run-llama/rags) and [SAG's repository](https://github.com/Zleap-AI/SAG). | | [rags](/tools/run-llama-rags.md) | [SAG](/tools/zleap-ai-sag.md) | | --- | --- | --- | | Tagline | Build ChatGPT over your data with natural language | Document retrieval system built on SAG | | Stars | 6,549 | 2,406 | | Forks | 656 | 148 | | Open issues | 37 | 2 | | Language | Python | TypeScript | | Adopt for | Decision-critical facts for 'rags': | SAG is a document retrieval project built with TypeScript to aid in efficient search and retrieval within knowledge bases. | | Persona | - | - | | Runtime | - | - | | License | MIT License | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [rags](/tools/run-llama-rags.md) | [SAG](/tools/zleap-ai-sag.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 865d | 0d | | Open issues (now) | 37 | 2 | | Stars delta | +6 (30d) | +190 (30d) | | Open issues delta | -1 (30d) | +2 (30d) | | Full report | [trust report](/tools/run-llama-rags/trust.md) | [trust report](/tools/zleap-ai-sag/trust.md) | ## Shared compatibility - **Python**: [rags](/tools/run-llama-rags.md) - Python runtime; [SAG](/tools/zleap-ai-sag.md) - Python runtime ## Decision facts: rags - **Requirements:** Installation leverages poetry for dependency management.; Setup requires configuration with OpenAI key and potentially creating a virtual environment. - **Adopt for:** Decision-critical facts for 'rags': - **License detail:** MIT License ## Decision facts: SAG - **Adopt for:** SAG is a document retrieval project built with TypeScript to aid in efficient search and retrieval within knowledge bases. ## Choose when ### Choose rags if… - rags is primarily Python; SAG is TypeScript. - Requirements: Installation leverages poetry for dependency management.; Setup requires configuration with OpenAI key and potentially creating a virtual environment.. - Tags unique to rags: chatbot, chatgpt, openai, streamlit. - When leveraging natural language queries over proprietary user data using OpenAI services. ### Choose SAG if… - SAG is primarily TypeScript; rags is Python. - Tags unique to SAG: ai, data-engineering, knowledge-graph, sag. - When you need graph and vector-based techniques for retrieving documents ## When NOT to use rags - Not suitable if you seek solutions not dependent on OpenAI's services as the underlying framework is tightly coupled with OpenAI APIs. - Avoid using rags if your project involves sensitive or highly confidential data since it requires integrating API keys, potentially posing security concerns. - If your team does not have familiarity or access to Streamlit for app development, you might find setting up and deploying a conversational agent more challenging. ## When NOT to use SAG - Avoid if the project requires features not supported by TypeScript, favoring alternative languages or environments instead - Do not use SAG when the architecture of your system cannot benefit from graph and vector-based retrieval methods, as it may lead to underutilization of its capabilities ## Common questions ### What is the difference between rags and SAG? rags: Build ChatGPT over your data with natural language. SAG: Document retrieval system built on SAG. See the comparison table for live GitHub stats and shared categories. ### When should I choose rags over SAG? Choose rags over SAG when rags is primarily Python; SAG is TypeScript; Requirements: Installation leverages poetry for dependency management.; Setup requires configuration with OpenAI key and potentially creating a virtual environment.; Tags unique to rags: chatbot, chatgpt, openai, streamlit; When leveraging natural language queries over proprietary user data using OpenAI services. ### When should I choose SAG over rags? Choose SAG over rags when SAG is primarily TypeScript; rags is Python; Tags unique to SAG: ai, data-engineering, knowledge-graph, sag; When you need graph and vector-based techniques for retrieving documents. ### When should I avoid rags? Not suitable if you seek solutions not dependent on OpenAI's services as the underlying framework is tightly coupled with OpenAI APIs. Avoid using rags if your project involves sensitive or highly confidential data since it requires integrating API keys, potentially posing security concerns. If your team does not have familiarity or access to Streamlit for app development, you might find setting up and deploying a conversational agent more challenging. ### When should I avoid SAG? Avoid if the project requires features not supported by TypeScript, favoring alternative languages or environments instead Do not use SAG when the architecture of your system cannot benefit from graph and vector-based retrieval methods, as it may lead to underutilization of its capabilities ### Is rags or SAG more popular on GitHub? rags has more GitHub stars (6,549 vs 2,406). Stars measure visibility, not whether either tool fits your constraints. ### Are rags and SAG open source? Yes - both are open-source projects on GitHub (rags: MIT, SAG: MIT). ### Where can I find alternatives to rags or SAG? GraphCanon lists graph-backed alternatives at [rags alternatives](/tools/run-llama-rags/alternatives) and [SAG alternatives](/tools/zleap-ai-sag/alternatives) ([rags markdown twin](/tools/run-llama-rags/alternatives.md), [SAG markdown twin](/tools/zleap-ai-sag/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/run-llama-rags-vs-zleap-ai-sag.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, rags or SAG? rags: Dormant. SAG: Very 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 rags and SAG? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [rags trust report](/tools/run-llama-rags/trust); [SAG trust report](/tools/zleap-ai-sag/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=run-llama-rags`](/api/graphcanon/graph?tool=run-llama-rags) - 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/_