Comparison
infinity vs autoflow
Verdict
Pick infinity if designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types; pick autoflow if pingcap/autoflow leverages Graph RAG technology and TiDB Serverless Vector Storage, making it a specialized choice for building conversational knowledge bases in TypeScript.
Markdown twin · infinity alternatives · autoflow alternatives
GraphCanon updated 4w
Trust & integrity
| Signal | infinity | autoflow |
|---|---|---|
| Maintenance | Very active (6d since push) As of 4w · github_public_v1 | Steady (85d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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.
- autoflow
- Graph RAG based conversational knowledge base tool using TiDB Serverless Vector Storage
Stars
- infinity
- 4.6k
- autoflow
- 3.0k
Forks
- infinity
- 431
- autoflow
- 196
Open issues
- infinity
- 66
- autoflow
- 75
Language
- infinity
- C++
- autoflow
- TypeScript
Adopt for
- infinity
- Designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types.
- autoflow
- pingcap/autoflow leverages Graph RAG technology and TiDB Serverless Vector Storage, making it a specialized choice for building conversational knowledge bases in TypeScript.
Persona
- infinity
- -
- autoflow
- -
Runtime
- infinity
- -
- autoflow
- -
License
- infinity
- Apache-2.0
- autoflow
- Apache-2.0
Last pushed
- infinity
- Jul 15, 2026
- autoflow
- Apr 27, 2026
Categories
- infinity
- Data & Retrieval, Vector Databases
- autoflow
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- infinity
- Very active (96%)
- autoflow
- Steady (60%)
Days since push
- infinity
- 6d
- autoflow
- 85d
Open issues (now)
- infinity
- 66
- autoflow
- 75
Full report
- infinity
- Trust report
- autoflow
- Trust report
Typed relationship
Choose infinity if…
- infinity is primarily C++; autoflow is TypeScript.
- Autoflow uses TiDB Vector Storage which can integrate well with infinity for hybrid search capabilities, as both deal with vector and knowledge graph integration.
- Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20.
- 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 autoflow if…
- autoflow is primarily TypeScript; infinity is C++.
- Autoflow uses TiDB Vector Storage which can integrate well with infinity for hybrid search capabilities, as both deal with vector and knowledge graph integration.
- Tags unique to autoflow: chatbot, cot, graphrag, knowledge-graph.
- autoflow ships Docker support for self-hosted deployment.
- - When you need to create a conversational interface that can leverage both graph-based data structures and retrieval-augmented generation techniques for context-aware responses.
When NOT to use autoflow
- - When your application does not require a conversational knowledge base or cannot benefit from retrieval-augmented generation (RAG) techniques.
- - If you are aiming for broad compatibility across different SQL-based databases, as autoflow specifically integrates with TiDB and might offer less flexibility when compared to tools that support a
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 Jul 21, 2026
- GitHub forks (infiniflow/infinity) · observed Jul 21, 2026
- Last push (infiniflow/infinity) · observed Jul 15, 2026
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pingcap/autoflow) · observed Jul 21, 2026
- GitHub forks (pingcap/autoflow) · observed Jul 21, 2026
- Last push (pingcap/autoflow) · observed Apr 27, 2026
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: infinity 4.6k · autoflow 3.0k (synced Jul 21, 2026).
Common questions
- What is the difference between infinity and autoflow?
- infinity: AI-native database for LLM applications offering fast hybrid search capabilities.. autoflow: Graph RAG based conversational knowledge base tool using TiDB Serverless Vector Storage. See the comparison table for live GitHub stats and shared categories.
- When should I choose infinity over autoflow?
- Choose infinity over autoflow when infinity is primarily C++; autoflow is TypeScript; Autoflow uses TiDB Vector Storage which can integrate well with infinity for hybrid search capabilities, as both deal with vector and knowledge graph integration; Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20; When your application requires rapid hybrid search capabilities across multiple data types including tensors and full texts.
- When should I choose autoflow over infinity?
- Choose autoflow over infinity when autoflow is primarily TypeScript; infinity is C++; Autoflow uses TiDB Vector Storage which can integrate well with infinity for hybrid search capabilities, as both deal with vector and knowledge graph integration; Tags unique to autoflow: chatbot, cot, graphrag, knowledge-graph; autoflow ships Docker support for self-hosted deployment; - When you need to create a conversational interface that can leverage both graph-based data structures and retrieval-augmented generation techniques for context-aware responses.
- 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 autoflow?
- - When your application does not require a conversational knowledge base or cannot benefit from retrieval-augmented generation (RAG) techniques. - If you are aiming for broad compatibility across different SQL-based databases, as autoflow specifically integrates with TiDB and might offer less flexibility when compared to tools that support a
- Is infinity or autoflow more popular on GitHub?
- infinity has more GitHub stars (4,624 vs 2,956). Stars measure visibility, not whether either tool fits your constraints.
- Are infinity and autoflow open source?
- Yes - both are open-source projects on GitHub (infinity: Apache-2.0, autoflow: Apache-2.0).
- Where can I find alternatives to infinity or autoflow?
- GraphCanon lists graph-backed alternatives at infinity alternatives and autoflow alternatives (infinity markdown twin, autoflow 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 autoflow?
- infinity: Very active. autoflow: Steady. 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 autoflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: infinity trust report; autoflow trust report.