Comparison
Dot vs rag-time
Verdict
Pick Dot if local, JavaScript-based all-in-one solution for Text-To-Speech, RAG models, and working with LLMs; pick rag-time if rAG Time is tailored for those looking to systematically learn and apply Retrieval-Augmented Generation techniques in a structured 5-week program.
Markdown twin · Dot alternatives · rag-time alternatives
GraphCanon updated Sep 20, 2026
20views this month
Trust & integrity
| Signal | Dot | rag-time |
|---|---|---|
| Maintenance | Dormant (649d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (459d 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 · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- Dot
- Text-To-Speech, RAG, and LLMs. All local!
- rag-time
- RAG Time: A 5-week Learning Journey to Mastering RAG
Stars
- Dot
- 1.9k
- rag-time
- 905
Forks
- Dot
- 109
- rag-time
- 319
Open issues
- Dot
- 14
- rag-time
- 4
Language
- Dot
- JavaScript
- rag-time
- Jupyter Notebook
Adopt for
- Dot
- Local, JavaScript-based all-in-one solution for Text-To-Speech, RAG models, and working with LLMs
- rag-time
- RAG Time is tailored for those looking to systematically learn and apply Retrieval-Augmented Generation techniques in a structured 5-week program.
Persona
- Dot
- -
- rag-time
- -
Runtime
- Dot
- -
- rag-time
- -
License
- Dot
- GPL-3.0
- rag-time
- The MIT License provides freedom to use, copy, modify and distribute the software provided that copyright and license information are retained.
Last pushed
- Dot
- Dec 9, 2024
- rag-time
- Jun 17, 2025
Categories
- Dot
- Data & Retrieval, LLM Frameworks, Speech & Audio
- rag-time
- Data & Retrieval, LLM Frameworks, Model Training
Trust and health
Days since push
- Dot
- 649d
- rag-time
- 459d
Open issues (now)
- Dot
- 14
- rag-time
- 4
Stars delta
- Dot
- +4 (30d)
- rag-time
- +12 (30d)
Owner type
- Dot
- User
- rag-time
- Organization
Full report
- Dot
- Trust report
- rag-time
- Trust report
Choose Dot if…
- Dot is primarily JavaScript; rag-time is Jupyter Notebook.
- License: Dot is GPL-3.0, rag-time is MIT.
- Tags unique to Dot: document-chat, embeddings, faiss, langchain.
- Also covers Speech & Audio.
- When you are working in a local environment and have projects that require Text-To-Speech capabilities along with RAG and LLM functionalities.
When NOT to use Dot
- If your team does not have proficiency in JavaScript or the requirement is to use a language other than JavaScript for development purposes.
- When the need arises for cloud-based services that provide more scalable and maintainable infrastructure, as Dot works strictly in a local environment.
- For organizations that require real-time speech processing at scale without self-hosting capabilities where reliability and continuous availability are paramount.
Choose rag-time if…
- rag-time is primarily Jupyter Notebook; Dot is JavaScript.
- License: rag-time is MIT, Dot is GPL-3.0.
- Requirements: Min 8 GB RAM.
- Tags unique to rag-time: ai, generative-ai, hybrid-search, indexing.
- Also covers Model Training.
- When you need a detailed, week-by-week learning path specifically focused on the nuances of RAG techniques, from basics to advanced applications.
When NOT to use rag-time
- If you prefer ad-hoc or self-directed learning without a structured timeline. Other tools may offer more flexible formats, which can be preferable if adhering to strict schedules is not ideal.
- When your focus is solely on either indexing or generation models and not the integration of both for RAG. In this case, specialized resources for just indexing or model training might suffice.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alexpinel/Dot) · observed Sep 20, 2026
- GitHub forks (alexpinel/Dot) · observed Sep 20, 2026
- Last push (alexpinel/Dot) · observed Dec 9, 2024
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/rag-time) · observed Sep 20, 2026
- GitHub forks (microsoft/rag-time) · observed Sep 20, 2026
- Last push (microsoft/rag-time) · observed Jun 17, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Dot 1.9k · rag-time 905 (synced Sep 20, 2026).
Common questions
- What is the difference between Dot and rag-time?
- Dot: Text-To-Speech, RAG, and LLMs. All local!. rag-time: RAG Time: A 5-week Learning Journey to Mastering RAG. See the comparison table for live GitHub stats and shared categories.
- When should I choose Dot over rag-time?
- Choose Dot over rag-time when Dot is primarily JavaScript; rag-time is Jupyter Notebook; License: Dot is GPL-3.0, rag-time is MIT; Tags unique to Dot: document-chat, embeddings, faiss, langchain; Also covers Speech & Audio; When you are working in a local environment and have projects that require Text-To-Speech capabilities along with RAG and LLM functionalities.
- When should I choose rag-time over Dot?
- Choose rag-time over Dot when rag-time is primarily Jupyter Notebook; Dot is JavaScript; License: rag-time is MIT, Dot is GPL-3.0; Requirements: Min 8 GB RAM; Tags unique to rag-time: ai, generative-ai, hybrid-search, indexing; Also covers Model Training; When you need a detailed, week-by-week learning path specifically focused on the nuances of RAG techniques, from basics to advanced applications.
- When should I avoid Dot?
- If your team does not have proficiency in JavaScript or the requirement is to use a language other than JavaScript for development purposes. When the need arises for cloud-based services that provide more scalable and maintainable infrastructure, as Dot works strictly in a local environment. For organizations that require real-time speech processing at scale without self-hosting capabilities where reliability and continuous availability are paramount.
- When should I avoid rag-time?
- If you prefer ad-hoc or self-directed learning without a structured timeline. Other tools may offer more flexible formats, which can be preferable if adhering to strict schedules is not ideal. When your focus is solely on either indexing or generation models and not the integration of both for RAG. In this case, specialized resources for just indexing or model training might suffice.
- Is Dot or rag-time more popular on GitHub?
- Dot has more GitHub stars (1,914 vs 905). Stars measure visibility, not whether either tool fits your constraints.
- Are Dot and rag-time open source?
- Yes - both are open-source projects on GitHub (Dot: GPL-3.0, rag-time: MIT).
- Where can I find alternatives to Dot or rag-time?
- GraphCanon lists graph-backed alternatives at Dot alternatives and rag-time alternatives (Dot markdown twin, rag-time 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, Dot or rag-time?
- Dot: Dormant. rag-time: Dormant. 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 Dot and rag-time?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Dot trust report; rag-time trust report.