Comparison
quivr vs rags
Verdict
Pick quivr if quivr is an opinionated RAG tool that simplifies GenAI integration into applications, supporting multiple LLMs and vector stores. Its framework allows for customization to fit various product needs; pick rags if decision-critical facts for 'rags':.
Markdown twin · quivr alternatives · rags alternatives
GraphCanon updated 4d
Trust & integrity
| Signal | quivr | rags |
|---|---|---|
| Maintenance | Dormant (402d since push) As of 6d · github_public_v1 | Dormant (865d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · 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
- quivr
- Opiniated RAG for integrating GenAI in your apps 🧠
- rags
- Build ChatGPT over your data with natural language
Stars
- quivr
- 39k
- rags
- 6.5k
Forks
- quivr
- 3.7k
- rags
- 656
Open issues
- quivr
- 36
- rags
- 37
Language
- quivr
- Python
- rags
- Python
Adopt for
- quivr
- Quivr is an opinionated RAG tool that simplifies GenAI integration into applications, supporting multiple LLMs and vector stores. Its framework allows for customization to fit various product needs.
- rags
- Decision-critical facts for 'rags':
Persona
- quivr
- -
- rags
- -
Runtime
- quivr
- -
- rags
- -
License
- quivr
- Other
- rags
- MIT License
Last pushed
- quivr
- Jul 9, 2025
- rags
- Apr 5, 2024
Categories
- quivr
- AI Agents, Data & Retrieval
- rags
- AI Agents, Data & Retrieval
Trust and health
Days since push
- quivr
- 402d
- rags
- 865d
Open issues (now)
- quivr
- 36
- rags
- 37
Stars delta
- quivr
- +188 (30d)
- rags
- +6 (30d)
Open issues delta
- quivr
- +5 (30d)
- rags
- -1 (30d)
OSV dependency advisories
- quivr
- No lockfile (source not queried)
- rags
- Published findings
Full report
- quivr
- Trust report
- rags
- Trust report
Typed relationship
quivr alternative ragsQuivr and RAGs both offer retrieval-augmented generation (RAG) solutions, but they have different design philosophies with Quivr being more opinionated.
Shared compatibility
- Python · quivr: Python runtime · rags: Python runtime
Choose quivr if…
- License: quivr is Other, rags is MIT.
- Pricing: The pricing details for Quivr are currently unshared..
- Requirements: Min 4 GB RAM; Requires Docker.
- Quivr and RAGs both offer retrieval-augmented generation (RAG) solutions, but they have different design philosophies with Quivr being more opinionated.
- Tags unique to quivr: ai, api, framework, vector.
- When you need a straightforward way to integrate GenAI functionalities without deep expertise in the underlying technologies
When NOT to use quivr
- When the need arises for a tool that provides extensive control over every aspect of the RAG setup due to Quivr's opinionated nature
- For organizations that require integration with very niche or non-supported LLMs and vector stores not mentioned in Quivr’s framework
Choose rags if…
- License: rags is MIT, quivr is Other.
- Requirements: Installation leverages poetry for dependency management.; Setup requires configuration with OpenAI key and potentially creating a virtual environment..
- Quivr and RAGs both offer retrieval-augmented generation (RAG) solutions, but they have different design philosophies with Quivr being more opinionated.
- Tags unique to rags: agent, chatgpt, llm, openai.
- When leveraging natural language queries over proprietary user data using OpenAI services.
When NOT to use rags
- Not suitable if you seek solutions not dependent on OpenAI's services as the underlying framework is tightly coupled with OpenAI APIs.
- Avoid using rags if your project involves sensitive or highly confidential data since it requires integrating API keys, potentially posing security concerns.
- If your team does not have familiarity or access to Streamlit for app development, you might find setting up and deploying a conversational agent more challenging.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (QuivrHQ/quivr) · observed Aug 16, 2026
- GitHub forks (QuivrHQ/quivr) · observed Aug 16, 2026
- Last push (QuivrHQ/quivr) · observed Jul 9, 2025
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (run-llama/rags) · observed Aug 18, 2026
- GitHub forks (run-llama/rags) · observed Aug 18, 2026
- Last push (run-llama/rags) · observed Apr 5, 2024
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: quivr 39k · rags 6.5k (synced Aug 16, 2026).
Common questions
- What is the difference between quivr and rags?
- quivr: Opiniated RAG for integrating GenAI in your apps 🧠. rags: Build ChatGPT over your data with natural language. See the comparison table for live GitHub stats and shared categories.
- When should I choose quivr over rags?
- Choose quivr over rags when License: quivr is Other, rags is MIT; Pricing: The pricing details for Quivr are currently unshared.; Requirements: Min 4 GB RAM; Requires Docker; Quivr and RAGs both offer retrieval-augmented generation (RAG) solutions, but they have different design philosophies with Quivr being more opinionated; Tags unique to quivr: ai, api, framework, vector; When you need a straightforward way to integrate GenAI functionalities without deep expertise in the underlying technologies.
- When should I choose rags over quivr?
- Choose rags over quivr when License: rags is MIT, quivr is Other; Requirements: Installation leverages poetry for dependency management.; Setup requires configuration with OpenAI key and potentially creating a virtual environment.; Quivr and RAGs both offer retrieval-augmented generation (RAG) solutions, but they have different design philosophies with Quivr being more opinionated; Tags unique to rags: agent, chatgpt, llm, openai; When leveraging natural language queries over proprietary user data using OpenAI services.
- When should I avoid quivr?
- When the need arises for a tool that provides extensive control over every aspect of the RAG setup due to Quivr's opinionated nature For organizations that require integration with very niche or non-supported LLMs and vector stores not mentioned in Quivr’s framework
- When should I avoid rags?
- Not suitable if you seek solutions not dependent on OpenAI's services as the underlying framework is tightly coupled with OpenAI APIs. Avoid using rags if your project involves sensitive or highly confidential data since it requires integrating API keys, potentially posing security concerns. If your team does not have familiarity or access to Streamlit for app development, you might find setting up and deploying a conversational agent more challenging.
- Is quivr or rags more popular on GitHub?
- quivr has more GitHub stars (39,401 vs 6,549). Stars measure visibility, not whether either tool fits your constraints.
- Are quivr and rags open source?
- Yes - both are open-source projects on GitHub (quivr: Other, rags: MIT).
- Where can I find alternatives to quivr or rags?
- GraphCanon lists graph-backed alternatives at quivr alternatives and rags alternatives (quivr markdown twin, rags 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, quivr or rags?
- quivr: Dormant. rags: 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 quivr and rags?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: quivr trust report; rags trust report.