--- title: "rag_api vs academic-research-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/danny-avila-rag-api-vs-imbad0202-academic-research-skills" tools: ["danny-avila-rag-api", "imbad0202-academic-research-skills"] --- # rag_api vs academic-research-skills *GraphCanon updated Jul 11, 2026* ## Verdict Pick rag_api when license: rag_api is MIT, academic-research-skills is Other; pick academic-research-skills when license: academic-research-skills is Other, rag_api is MIT. [rag_api](https://librechat.ai/) reports 863 GitHub stars, 376 forks, and 44 open issues, last pushed Jun 18, 2026. [academic-research-skills](https://buymeacoffee.com/crucify020v) has 37k stars, 3.0k forks, and 9 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [rag_api's repository](https://github.com/danny-avila/rag_api) and [academic-research-skills's repository](https://github.com/Imbad0202/academic-research-skills). | | [rag_api](/tools/danny-avila-rag-api.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | | --- | --- | --- | | Tagline | ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector | Academic Research Skills for Claude Code: research → write → review → revise → finalize | | Stars | 863 | 37,300 | | Forks | 376 | 3,043 | | Open issues | 44 | 9 | | Language | Python | Python | | Adopt for | Key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [rag_api](/tools/danny-avila-rag-api.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 22d | 0d | | Open issues (now) | 44 | 9 | | Full report | [trust report](/tools/danny-avila-rag-api/trust.md) | [trust report](/tools/imbad0202-academic-research-skills/trust.md) | ## Decision facts: rag_api - **Adopt for:** Key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration ## Choose when ### Choose rag_api if… - License: rag_api is MIT, academic-research-skills is Other. - Tags unique to rag_api: postgresql, psql, embeddings, fastapi. - Also covers Vector Databases. - rag_api ships Docker support for self-hosted deployment. - When you need rapid integration of REST API services for Retrieval-Augmented Generation (RAG) with robust vector storage. ### Choose academic-research-skills if… - License: academic-research-skills is Other, rag_api is MIT. - Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude. - Also covers LLM Frameworks. ## When NOT to use rag_api - Avoid using if your project cannot leverage PostgreSQL/pgvector due to license or compatibility constraints. - Not recommended for scenarios where high-level orchestration of multiple APIs and services is necessary without a direct need for FastAPI's simplicity. ## When NOT to use academic-research-skills - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between rag_api and academic-research-skills? rag_api: ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector. academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. See the comparison table for live GitHub stats and shared categories. ### When should I choose rag_api over academic-research-skills? Choose rag_api over academic-research-skills when License: rag_api is MIT, academic-research-skills is Other; Tags unique to rag_api: postgresql, psql, embeddings, fastapi; Also covers Vector Databases; rag_api ships Docker support for self-hosted deployment; When you need rapid integration of REST API services for Retrieval-Augmented Generation (RAG) with robust vector storage. ### When should I choose academic-research-skills over rag_api? Choose academic-research-skills over rag_api when License: academic-research-skills is Other, rag_api is MIT; Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude; Also covers LLM Frameworks. ### When should I avoid rag_api? Avoid using if your project cannot leverage PostgreSQL/pgvector due to license or compatibility constraints. Not recommended for scenarios where high-level orchestration of multiple APIs and services is necessary without a direct need for FastAPI's simplicity. ### When should I avoid academic-research-skills? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is rag_api or academic-research-skills more popular on GitHub? academic-research-skills has more GitHub stars (37,300 vs 863). Stars measure visibility, not whether either tool fits your constraints. ### Are rag_api and academic-research-skills open source? Yes - both are open-source projects on GitHub (rag_api: MIT, academic-research-skills: Other). ### Where can I find alternatives to rag_api or academic-research-skills? GraphCanon lists graph-backed alternatives at [rag_api alternatives](/tools/danny-avila-rag-api/alternatives) and [academic-research-skills alternatives](/tools/imbad0202-academic-research-skills/alternatives) ([rag_api markdown twin](/tools/danny-avila-rag-api/alternatives.md), [academic-research-skills markdown twin](/tools/imbad0202-academic-research-skills/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/danny-avila-rag-api-vs-imbad0202-academic-research-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, rag_api or academic-research-skills? rag_api: Active. academic-research-skills: 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 rag_api and academic-research-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [rag_api trust report](/tools/danny-avila-rag-api/trust); [academic-research-skills trust report](/tools/imbad0202-academic-research-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=danny-avila-rag-api`](/api/graphcanon/graph?tool=danny-avila-rag-api) - 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/_