Comparison
rag_api vs NexusRAG
Verdict
Pick rag_api if key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration; pick NexusRAG if nexusRAG is a hybrid RAG system integrating vector search with a knowledge graph. It supports document parsing, visual intelligence (such as image/table captioning), agentic streaming chat, and inline citations.
Markdown twin · rag_api alternatives · NexusRAG alternatives
GraphCanon updated 4w
vs
Trust & integrity
| Signal | rag_api | NexusRAG |
|---|---|---|
| Maintenance | Steady (33d since push) As of 1mo · github_public_v1 | Slowing (94d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Personal 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
- rag_api
- ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
- NexusRAG
- Hybrid RAG system with vector search and knowledge graph
Stars
- rag_api
- 866
- NexusRAG
- 334
Forks
- rag_api
- 380
- NexusRAG
- 69
Open issues
- rag_api
- 47
- NexusRAG
- 2
Language
- rag_api
- Python
- NexusRAG
- Python
Adopt for
- rag_api
- Key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration
- NexusRAG
- NexusRAG is a hybrid RAG system integrating vector search with a knowledge graph. It supports document parsing, visual intelligence (such as image/table captioning), agentic streaming chat, and inline citations.
Persona
- rag_api
- -
- NexusRAG
- -
Runtime
- rag_api
- -
- NexusRAG
- -
License
- rag_api
- MIT
- NexusRAG
- -
Last pushed
- rag_api
- Jun 18, 2026
- NexusRAG
- Apr 20, 2026
Categories
- rag_api
- Data & Retrieval, Vector Databases
- NexusRAG
- Computer Vision, Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- rag_api
- Steady (60%)
- NexusRAG
- Slowing (36%)
Days since push
- rag_api
- 33d
- NexusRAG
- 94d
Open issues (now)
- rag_api
- 47
- NexusRAG
- 2
Full report
- rag_api
- Trust report
- NexusRAG
- Trust report
Choose rag_api if…
- Tags unique to rag_api: api, api-rest, embeddings, langchain.
- When you need rapid integration of REST API services for Retrieval-Augmented Generation (RAG) with robust vector storage.
- More GitHub stars (866 vs 334) - visibility, not fit.
When NOT to use rag_api
- Avoid using if your project cannot leverage PostgreSQL/pgvector due to license or compatibility constraints.
- Not recommended for scenarios where high-level orchestration of multiple APIs and services is necessary without a direct need for FastAPI's simplicity.
Choose NexusRAG if…
- Requirements: Be cautious about compatibility with specific models and dependencies, as the repository does not specify comprehensive dependency management..
- Tags unique to NexusRAG: chromadb, citation, docling, document-parsing.
- Also covers Computer Vision, LLM Frameworks.
- Use NexusRAG if you need to incorporate both vector search capabilities and a rich knowledge graph into your AI application.
When NOT to use NexusRAG
- Avoid using NexusRAG in scenarios where real-time processing power is limited, as agentic streaming chat and visual intelligence can be computationally intensive.
- NexusRAG might not be the best fit if your project strictly requires open-source licensing compliance due to its unknown license status.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (danny-avila/rag_api) · observed Jul 22, 2026
- GitHub forks (danny-avila/rag_api) · observed Jul 22, 2026
- Last push (danny-avila/rag_api) · observed Jun 18, 2026
- License file (MIT) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (LeDat98/NexusRAG) · observed Jul 24, 2026
- GitHub forks (LeDat98/NexusRAG) · observed Jul 24, 2026
- Last push (LeDat98/NexusRAG) · observed Apr 20, 2026
- License file (unknown) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: rag_api 866 · NexusRAG 334 (synced Jul 22, 2026).
Common questions
- What is the difference between rag_api and NexusRAG?
- rag_api: ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector. NexusRAG: Hybrid RAG system with vector search and knowledge graph. See the comparison table for live GitHub stats and shared categories.
- When should I choose rag_api over NexusRAG?
- Choose rag_api over NexusRAG when Tags unique to rag_api: api, api-rest, embeddings, langchain; When you need rapid integration of REST API services for Retrieval-Augmented Generation (RAG) with robust vector storage; More GitHub stars (866 vs 334) - visibility, not fit.
- When should I choose NexusRAG over rag_api?
- Choose NexusRAG over rag_api when Requirements: Be cautious about compatibility with specific models and dependencies, as the repository does not specify comprehensive dependency management.; Tags unique to NexusRAG: chromadb, citation, docling, document-parsing; Also covers Computer Vision, LLM Frameworks; Use NexusRAG if you need to incorporate both vector search capabilities and a rich knowledge graph into your AI application.
- When should I avoid rag_api?
- Avoid using if your project cannot leverage PostgreSQL/pgvector due to license or compatibility constraints. Not recommended for scenarios where high-level orchestration of multiple APIs and services is necessary without a direct need for FastAPI's simplicity.
- When should I avoid NexusRAG?
- Avoid using NexusRAG in scenarios where real-time processing power is limited, as agentic streaming chat and visual intelligence can be computationally intensive. NexusRAG might not be the best fit if your project strictly requires open-source licensing compliance due to its unknown license status.
- Is rag_api or NexusRAG more popular on GitHub?
- rag_api has more GitHub stars (866 vs 334). Stars measure visibility, not whether either tool fits your constraints.
- Are rag_api and NexusRAG open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to rag_api or NexusRAG?
- GraphCanon lists graph-backed alternatives at rag_api alternatives and NexusRAG alternatives (rag_api markdown twin, NexusRAG 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, rag_api or NexusRAG?
- rag_api: Steady. NexusRAG: Slowing. 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 rag_api and NexusRAG?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rag_api trust report; NexusRAG trust report.