Comparison
rag_api vs agentic-rag-for-dummies
Verdict
Pick rag_api if key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration; pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
Markdown twin · rag_api alternatives · agentic-rag-for-dummies alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | rag_api | agentic-rag-for-dummies |
|---|---|---|
| Maintenance | Steady (35d since push) As of Sep 20, 2026 · github_public_v1 | Active (20d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- rag_api
- ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
- agentic-rag-for-dummies
- A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents
Stars
- rag_api
- 901
- agentic-rag-for-dummies
- 4.2k
Forks
- rag_api
- 404
- agentic-rag-for-dummies
- 552
Open issues
- rag_api
- 45
- agentic-rag-for-dummies
- 0
Language
- rag_api
- Python
- agentic-rag-for-dummies
- Jupyter Notebook
Adopt for
- rag_api
- Key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
Persona
- rag_api
- -
- agentic-rag-for-dummies
- -
Runtime
- rag_api
- -
- agentic-rag-for-dummies
- -
License
- rag_api
- MIT
- agentic-rag-for-dummies
- MIT
Last pushed
- rag_api
- Aug 15, 2026
- agentic-rag-for-dummies
- Aug 30, 2026
Categories
- rag_api
- Data & Retrieval, Vector Databases
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- rag_api
- Steady (60%)
- agentic-rag-for-dummies
- Active (82%)
Days since push
- rag_api
- 35d
- agentic-rag-for-dummies
- 20d
Open issues (now)
- rag_api
- 45
- agentic-rag-for-dummies
- 0
Stars delta
- rag_api
- +35 (30d)
- agentic-rag-for-dummies
- +295 (30d)
Open issues delta
- rag_api
- -2 (30d)
- agentic-rag-for-dummies
- 0 (30d)
OSV dependency advisories
- rag_api
- No lockfile (source not queried)
- agentic-rag-for-dummies
- Published findings
Full report
- rag_api
- Trust report
- agentic-rag-for-dummies
- Trust report
Shared compatibility
- Python · rag_api: Python runtime · agentic-rag-for-dummies: Python runtime
Choose rag_api if…
- rag_api is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- Tags unique to rag_api: api, api-rest, 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 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.
Choose agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; rag_api is Python.
- Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio.
- Also covers AI Agents.
- When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
When NOT to use agentic-rag-for-dummies
- If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details.
- Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (danny-avila/rag_api) · observed Sep 20, 2026
- GitHub forks (danny-avila/rag_api) · observed Sep 20, 2026
- Last push (danny-avila/rag_api) · observed Aug 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (GiovanniPasq/agentic-rag-for-dummies) · observed Sep 20, 2026
- GitHub forks (GiovanniPasq/agentic-rag-for-dummies) · observed Sep 20, 2026
- Last push (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 30, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: rag_api 901 · agentic-rag-for-dummies 4.2k (synced Sep 20, 2026).
Common questions
- What is the difference between rag_api and agentic-rag-for-dummies?
- rag_api: ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector. agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose rag_api over agentic-rag-for-dummies?
- Choose rag_api over agentic-rag-for-dummies when rag_api is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; Tags unique to rag_api: api, api-rest, 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 agentic-rag-for-dummies over rag_api?
- Choose agentic-rag-for-dummies over rag_api when agentic-rag-for-dummies is primarily Jupyter Notebook; rag_api is Python; Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio; Also covers AI Agents; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
- 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 agentic-rag-for-dummies?
- If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details. Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.
- Is rag_api or agentic-rag-for-dummies more popular on GitHub?
- agentic-rag-for-dummies has more GitHub stars (4,188 vs 901). Stars measure visibility, not whether either tool fits your constraints.
- Are rag_api and agentic-rag-for-dummies open source?
- Yes - both are open-source projects on GitHub (rag_api: MIT, agentic-rag-for-dummies: MIT).
- Where can I find alternatives to rag_api or agentic-rag-for-dummies?
- GraphCanon lists graph-backed alternatives at rag_api alternatives and agentic-rag-for-dummies alternatives (rag_api markdown twin, agentic-rag-for-dummies markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, rag_api or agentic-rag-for-dummies?
- rag_api: Steady. agentic-rag-for-dummies: 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 agentic-rag-for-dummies?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rag_api trust report; agentic-rag-for-dummies trust report.