Comparison
infinity vs ragflow
Verdict
Coexists - RAGflow focuses specifically on fusing Agent capabilities with LLM context management, which might be a more specialized or focused subset of what Infinity aims to provide.
Markdown twin · infinity alternatives · ragflow alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | infinity | ragflow |
|---|---|---|
| Maintenance | Very active (3d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 3w · 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
- infinity
- AI-native database for LLM applications offering fast hybrid search capabilities.
- ragflow
- Retrieval-Augmented Generation engine with agent capabilities
Stars
- infinity
- 4.7k
- ragflow
- 87k
Forks
- infinity
- 437
- ragflow
- 10k
Open issues
- infinity
- 64
- ragflow
- 2.0k
Language
- infinity
- C++
- ragflow
- Go
Adopt for
- infinity
- Designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types.
- ragflow
- RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license.
Persona
- infinity
- -
- ragflow
- -
Runtime
- infinity
- -
- ragflow
- -
License
- infinity
- Apache-2.0
- ragflow
- Apache-2.0 License
Last pushed
- infinity
- Aug 17, 2026
- ragflow
- Jul 31, 2026
Categories
- infinity
- Data & Retrieval, Vector Databases
- ragflow
- AI Agents, Data & Retrieval
Trust and health
Days since push
- infinity
- 3d
- ragflow
- 0d
Open issues (now)
- infinity
- 64
- ragflow
- 2.0k
Stars delta
- infinity
- +51 (30d)
- ragflow
- Unknown
Open issues delta
- infinity
- -2 (30d)
- ragflow
- Unknown
OSV dependency advisories
- infinity
- No lockfile (source not queried)
- ragflow
- Published findings
Full report
- infinity
- Trust report
- ragflow
- Trust report
Typed relationship
infinity successor ragflowInfinity likely builds on RAGFlow by providing a more comprehensive and advanced solution to Retrieval-Augmented Generation, aiming for high performance across various data types including vectors and texts.Coexists - RAGflow focuses specifically on fusing Agent capabilities with LLM context management, which might be a more specialized or focused subset of what Infinity aims to provide.
Choose infinity if…
- infinity is primarily C++; ragflow is Go.
- Infinity likely builds on RAGFlow by providing a more comprehensive and advanced solution to Retrieval-Augmented Generation, aiming for high performance across various data types including vectors and texts.
- Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20.
- Also covers Vector Databases.
- When your application requires rapid hybrid search capabilities across multiple data types including tensors and full texts.
When NOT to use infinity
- If your project does not benefit from fast hybrid search features or if you prefer not to use an AI-native database solution.
- When support for only dense vectors is sufficient, and the added complexity of supporting tensors and full texts is unnecessary.
Choose ragflow if…
- ragflow is primarily Go; infinity is C++.
- Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
- Infinity likely builds on RAGFlow by providing a more comprehensive and advanced solution to Retrieval-Augmented Generation, aiming for high performance across various data types including vectors and texts.
- Tags unique to ragflow: agentic-ai, context management, rag, retrieval-augmented-generation.
- Also covers AI Agents.
- ragflow ships Docker support for self-hosted deployment.
- - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
When NOT to use ragflow
- - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go.
- - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB).
- - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (infiniflow/infinity) · observed Aug 21, 2026
- GitHub forks (infiniflow/infinity) · observed Aug 21, 2026
- Last push (infiniflow/infinity) · observed Aug 17, 2026
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (infiniflow/ragflow) · observed Aug 1, 2026
- GitHub forks (infiniflow/ragflow) · observed Aug 1, 2026
- Last push (infiniflow/ragflow) · observed Jul 31, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: infinity 4.7k · ragflow 87k (synced Aug 21, 2026).
Common questions
- What is the difference between infinity and ragflow?
- infinity: AI-native database for LLM applications offering fast hybrid search capabilities.. ragflow: Retrieval-Augmented Generation engine with agent capabilities. See the comparison table for live GitHub stats and shared categories.
- When should I choose infinity over ragflow?
- Choose infinity over ragflow when infinity is primarily C++; ragflow is Go; Infinity likely builds on RAGFlow by providing a more comprehensive and advanced solution to Retrieval-Augmented Generation, aiming for high performance across various data types including vectors and texts; Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20; Also covers Vector Databases; When your application requires rapid hybrid search capabilities across multiple data types including tensors and full texts.
- When should I choose ragflow over infinity?
- Choose ragflow over infinity when ragflow is primarily Go; infinity is C++; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Infinity likely builds on RAGFlow by providing a more comprehensive and advanced solution to Retrieval-Augmented Generation, aiming for high performance across various data types including vectors and texts; Tags unique to ragflow: agentic-ai, context management, rag, retrieval-augmented-generation; Also covers AI Agents; ragflow ships Docker support for self-hosted deployment; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
- When should I avoid infinity?
- If your project does not benefit from fast hybrid search features or if you prefer not to use an AI-native database solution. When support for only dense vectors is sufficient, and the added complexity of supporting tensors and full texts is unnecessary.
- When should I avoid ragflow?
- - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.
- Is infinity or ragflow more popular on GitHub?
- ragflow has more GitHub stars (86,541 vs 4,675). Stars measure visibility, not whether either tool fits your constraints.
- Are infinity and ragflow open source?
- Yes - both are open-source projects on GitHub (infinity: Apache-2.0, ragflow: Apache-2.0).
- Where can I find alternatives to infinity or ragflow?
- GraphCanon lists graph-backed alternatives at infinity alternatives and ragflow alternatives (infinity markdown twin, ragflow 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, infinity or ragflow?
- infinity: Very active. ragflow: 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 infinity and ragflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: infinity trust report; ragflow trust report.