--- title: "ragtune vs pdfmux" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/metawake-ragtune-vs-nameetp-pdfmux" tools: ["metawake-ragtune", "nameetp-pdfmux"] --- # ragtune vs pdfmux *GraphCanon updated Aug 15, 2026* ## Verdict Pick ragtune if ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer; pick pdfmux if pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. [ragtune](https://github.com/metawake/ragtune) reports 13 GitHub stars, 1 forks, and 0 open issues, last pushed Mar 25, 2026. [pdfmux](https://pdfmux.com) has 79 stars, 12 forks, and 4 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [ragtune's repository](https://github.com/metawake/ragtune) and [pdfmux's repository](https://github.com/NameetP/pdfmux). | | [ragtune](/tools/metawake-ragtune.md) | [pdfmux](/tools/nameetp-pdfmux.md) | | --- | --- | --- | | Tagline | Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers | PDF extraction with self-healing and cost-aware mechanisms | | Stars | 13 | 79 | | Forks | 1 | 12 | | Open issues | 0 | 4 | | Language | Go | Python | | Adopt for | Ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer. | pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Evaluation & Observability | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ragtune](/tools/metawake-ragtune.md) | [pdfmux](/tools/nameetp-pdfmux.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 129d | 1d | | Open issues (now) | 0 | 4 | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | -2 (30d) | | Full report | [trust report](/tools/metawake-ragtune/trust.md) | [trust report](/tools/nameetp-pdfmux/trust.md) | ## Decision facts: ragtune - **Adopt for:** Ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer. ## Decision facts: pdfmux - **Adopt for:** pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. ## Choose when ### Choose ragtune if… - ragtune is primarily Go; pdfmux is Python. - Tags unique to ragtune: benchmarking, embeddings, metrics, retrieval-augmented-generation. - For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly. ### Choose pdfmux if… - pdfmux is primarily Python; ragtune is Go. - Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction. - pdfmux ships Docker support for self-hosted deployment. - You need high accuracy without LLMs or GPUs. ## When NOT to use ragtune - If your project relies on languages other than Go, as Ragtune might not integrate smoothly without additional effort. - When the primary focus of retrieval layer tuning lies outside supported vector search engines like Chroma or Qdrant and no customization can be applied via the tool. ## When NOT to use pdfmux - Require real-time GPU-based AI processing for speed. - Working with non-PDF file formats as sole tool. ## Common questions ### What is the difference between ragtune and pdfmux? ragtune: Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers. pdfmux: PDF extraction with self-healing and cost-aware mechanisms. See the comparison table for live GitHub stats and shared categories. ### When should I choose ragtune over pdfmux? Choose ragtune over pdfmux when ragtune is primarily Go; pdfmux is Python; Tags unique to ragtune: benchmarking, embeddings, metrics, retrieval-augmented-generation; For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly. ### When should I choose pdfmux over ragtune? Choose pdfmux over ragtune when pdfmux is primarily Python; ragtune is Go; Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction; pdfmux ships Docker support for self-hosted deployment; You need high accuracy without LLMs or GPUs. ### When should I avoid ragtune? If your project relies on languages other than Go, as Ragtune might not integrate smoothly without additional effort. When the primary focus of retrieval layer tuning lies outside supported vector search engines like Chroma or Qdrant and no customization can be applied via the tool. ### When should I avoid pdfmux? Require real-time GPU-based AI processing for speed. Working with non-PDF file formats as sole tool. ### Is ragtune or pdfmux more popular on GitHub? pdfmux has more GitHub stars (79 vs 13). Stars measure visibility, not whether either tool fits your constraints. ### Are ragtune and pdfmux open source? Yes - both are open-source projects on GitHub (ragtune: MIT, pdfmux: MIT). ### Where can I find alternatives to ragtune or pdfmux? GraphCanon lists graph-backed alternatives at [ragtune alternatives](/tools/metawake-ragtune/alternatives) and [pdfmux alternatives](/tools/nameetp-pdfmux/alternatives) ([ragtune markdown twin](/tools/metawake-ragtune/alternatives.md), [pdfmux markdown twin](/tools/nameetp-pdfmux/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/metawake-ragtune-vs-nameetp-pdfmux.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ragtune or pdfmux? ragtune: Slowing. pdfmux: 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 ragtune and pdfmux? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ragtune trust report](/tools/metawake-ragtune/trust); [pdfmux trust report](/tools/nameetp-pdfmux/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=metawake-ragtune`](/api/graphcanon/graph?tool=metawake-ragtune) - 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/_