Comparison
agentic-rag-for-dummies vs agentql
Verdict
Pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models; pick agentql if agentQL is a Python-based suite designed for large-scale web data extraction by using a query language and Playwright integrations.
Markdown twin · agentic-rag-for-dummies alternatives · agentql alternatives
GraphCanon updated Aug 14, 2026
39views this month
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Trust & integrity
| Signal | agentic-rag-for-dummies | agentql |
|---|---|---|
| Maintenance | Active (19d since push) As of Aug 14, 2026 · github_public_v1 | Very active (2d since push) As of Aug 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 14, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 12, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) 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
- agentic-rag-for-dummies
- A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents
- agentql
- Suite of tools connecting AI to the web with query language and Playwright integrations
Stars
- agentic-rag-for-dummies
- 3.9k
- agentql
- 1.4k
Forks
- agentic-rag-for-dummies
- 499
- agentql
- 165
Open issues
- agentic-rag-for-dummies
- 0
- agentql
- 9
Language
- agentic-rag-for-dummies
- Jupyter Notebook
- agentql
- Python
Adopt for
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
- agentql
- AgentQL is a Python-based suite designed for large-scale web data extraction by using a query language and Playwright integrations.
Persona
- agentic-rag-for-dummies
- -
- agentql
- -
Runtime
- agentic-rag-for-dummies
- -
- agentql
- -
License
- agentic-rag-for-dummies
- MIT
- agentql
- MIT
Last pushed
- agentic-rag-for-dummies
- Jul 25, 2026
- agentql
- Aug 9, 2026
Categories
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
- agentql
- AI Agents
Trust and health
Maintenance
- agentic-rag-for-dummies
- Active (82%)
- agentql
- Very active (96%)
Days since push
- agentic-rag-for-dummies
- 19d
- agentql
- 2d
Open issues (now)
- agentic-rag-for-dummies
- 0
- agentql
- 9
Owner type
- agentic-rag-for-dummies
- User
- agentql
- Organization
OSV dependency advisories
- agentic-rag-for-dummies
- Published findings
- agentql
- No lockfile (source not queried)
Full report
- agentic-rag-for-dummies
- Trust report
- agentql
- Trust report
Shared compatibility
- Python · agentic-rag-for-dummies: Python runtime · agentql: Python runtime
Choose agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; agentql is Python.
- Tags unique to agentic-rag-for-dummies: agentic-ai, bm25, gradio, langchain.
- Also covers Data & Retrieval.
- 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.
Choose agentql if…
- agentql is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- Tags unique to agentql: aiagent, automation, javascript, playwright.
- When you need tools that integrate AI with extensive web scraping to automate browser interactions effectively.
When NOT to use agentql
- Avoid if looking exclusively for solutions built around frameworks other than Playwright, as AgentQL is deeply integrated with it.
- Not suitable for users seeking simple web scraping functionalities without the sophistication of AI-driven querying or extensive browser automation capabilities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 14, 2026
- GitHub forks (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 14, 2026
- Last push (GiovanniPasq/agentic-rag-for-dummies) · observed Jul 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (tinyfish-io/agentql) · observed Aug 12, 2026
- GitHub forks (tinyfish-io/agentql) · observed Aug 12, 2026
- Last push (tinyfish-io/agentql) · observed Aug 9, 2026
- License file (MIT) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentic-rag-for-dummies 3.9k · agentql 1.4k (synced Aug 14, 2026).
Common questions
- What is the difference between agentic-rag-for-dummies and agentql?
- agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. agentql: Suite of tools connecting AI to the web with query language and Playwright integrations. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentic-rag-for-dummies over agentql?
- Choose agentic-rag-for-dummies over agentql when agentic-rag-for-dummies is primarily Jupyter Notebook; agentql is Python; Tags unique to agentic-rag-for-dummies: agentic-ai, bm25, gradio, langchain; Also covers Data & Retrieval; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
- When should I choose agentql over agentic-rag-for-dummies?
- Choose agentql over agentic-rag-for-dummies when agentql is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; Tags unique to agentql: aiagent, automation, javascript, playwright; When you need tools that integrate AI with extensive web scraping to automate browser interactions effectively.
- 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.
- When should I avoid agentql?
- Avoid if looking exclusively for solutions built around frameworks other than Playwright, as AgentQL is deeply integrated with it. Not suitable for users seeking simple web scraping functionalities without the sophistication of AI-driven querying or extensive browser automation capabilities.
- Is agentic-rag-for-dummies or agentql more popular on GitHub?
- agentic-rag-for-dummies has more GitHub stars (3,893 vs 1,445). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic-rag-for-dummies and agentql open source?
- Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, agentql: MIT).
- Where can I find alternatives to agentic-rag-for-dummies or agentql?
- GraphCanon lists graph-backed alternatives at agentic-rag-for-dummies alternatives and agentql alternatives (agentic-rag-for-dummies markdown twin, agentql 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, agentic-rag-for-dummies or agentql?
- agentic-rag-for-dummies: Active. agentql: 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 agentic-rag-for-dummies and agentql?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic-rag-for-dummies trust report; agentql trust report.