--- title: "prompts.chat vs ragtune" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-metawake-ragtune" tools: ["f-prompts-chat", "metawake-ragtune"] --- # prompts.chat vs ragtune *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat when prompts.chat is primarily HTML; ragtune is Go; pick ragtune when ragtune is primarily Go; prompts.chat is HTML. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. [ragtune](https://github.com/metawake/ragtune) has 13 stars, 1 forks, and 0 open issues, last pushed Mar 25, 2026. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [ragtune's repository](https://github.com/metawake/ragtune). | | [prompts.chat](/tools/f-prompts-chat.md) | [ragtune](/tools/metawake-ragtune.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer | | Stars | 165,372 | 13 | | Forks | 21,400 | 1 | | Open issues | 60 | 0 | | Language | HTML | Go | | Adopt for | Critical decision points for evaluating `prompts.chat` | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [ragtune](/tools/metawake-ragtune.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 108d | | Open issues (now) | 60 | 0 | | Security scan | No lockfile | 62 low (62 low) | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/metawake-ragtune/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Choose when ### Choose prompts.chat if… - prompts.chat is primarily HTML; ragtune is Go. - License: prompts.chat is Other, ragtune is MIT. - Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt. - Critical decision points for evaluating `prompts.chat` ### Choose ragtune if… - ragtune is primarily Go; prompts.chat is HTML. - License: ragtune is MIT, prompts.chat is Other. - Tags unique to ragtune: benchmarking, chroma, cli, developer-tools. - Also covers Vector Databases. ## When NOT to use prompts.chat - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use ragtune - Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on ragtune. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between prompts.chat and ragtune? prompts.chat: Share, discover, and collect prompts from the community. ragtune: EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over ragtune? Choose prompts.chat over ragtune when prompts.chat is primarily HTML; ragtune is Go; License: prompts.chat is Other, ragtune is MIT; Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt; Critical decision points for evaluating `prompts.chat`. ### When should I choose ragtune over prompts.chat? Choose ragtune over prompts.chat when ragtune is primarily Go; prompts.chat is HTML; License: ragtune is MIT, prompts.chat is Other; Tags unique to ragtune: benchmarking, chroma, cli, developer-tools; Also covers Vector Databases. ### When should I avoid prompts.chat? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid ragtune? Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on ragtune. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is prompts.chat or ragtune more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 13). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and ragtune open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, ragtune: MIT). ### Where can I find alternatives to prompts.chat or ragtune? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [ragtune alternatives](/tools/metawake-ragtune/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [ragtune markdown twin](/tools/metawake-ragtune/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/f-prompts-chat-vs-metawake-ragtune.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or ragtune? prompts.chat: Very active. ragtune: Slowing. 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 prompts.chat and ragtune? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [ragtune trust report](/tools/metawake-ragtune/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat) - 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/_