Comparison
rag_api vs ChatGLM-6B
Verdict
Pick rag_api when license: rag_api is MIT, ChatGLM-6B is Apache-2.0; pick ChatGLM-6B when license: ChatGLM-6B is Apache-2.0, rag_api is MIT.
Markdown twin · rag_api alternatives · ChatGLM-6B alternatives
GraphCanon updated today
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Trust & integrity
| Signal | rag_api | ChatGLM-6B |
|---|---|---|
| Maintenance | Active (22d since push) As of today · github_public_v1 | Dormant (744d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 75 low (75 low) As of today · osv@v1 |
Tagline
- rag_api
- ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
- ChatGLM-6B
- ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Stars
- rag_api
- 863
- ChatGLM-6B
- 41k
Forks
- rag_api
- 376
- ChatGLM-6B
- 5.1k
Open issues
- rag_api
- 44
- ChatGLM-6B
- 609
Language
- rag_api
- Python
- ChatGLM-6B
- Python
Adopt for
- rag_api
- Key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration
- ChatGLM-6B
- -
Persona
- rag_api
- -
- ChatGLM-6B
- -
Runtime
- rag_api
- -
- ChatGLM-6B
- -
License
- rag_api
- MIT
- ChatGLM-6B
- Apache-2.0
Last pushed
- rag_api
- Jun 18, 2026
- ChatGLM-6B
- Jun 27, 2024
Categories
- rag_api
- Vector Databases, Data & Retrieval
- ChatGLM-6B
- Vector Databases, LLM Frameworks, Data & Retrieval
Trust and health
Maintenance
- rag_api
- Active (82%)
- ChatGLM-6B
- Dormant (18%)
Days since push
- rag_api
- 22d
- ChatGLM-6B
- 744d
Open issues (now)
- rag_api
- 44
- ChatGLM-6B
- 609
Owner type
- rag_api
- User
- ChatGLM-6B
- Organization
Security scan
- rag_api
- No lockfile
- ChatGLM-6B
- 75 low (75 low)
Full report
- rag_api
- Trust report
- ChatGLM-6B
- Trust report
Choose rag_api if…
- License: rag_api is MIT, ChatGLM-6B is Apache-2.0.
- Tags unique to rag_api: postgresql, psql, embeddings, fastapi.
- rag_api ships Docker support for self-hosted deployment.
- When you need rapid integration of REST API services for Retrieval-Augmented Generation (RAG) with robust vector storage.
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 ChatGLM-6B if…
- License: ChatGLM-6B is Apache-2.0, rag_api is MIT.
- Tags unique to ChatGLM-6B: python.
- Also covers LLM Frameworks.
When NOT to use ChatGLM-6B
- Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
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 11, 2026
- GitHub forks (danny-avila/rag_api) · observed Jul 11, 2026
- Last push (danny-avila/rag_api) · observed Jun 18, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- GitHub forks (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- Last push (zai-org/ChatGLM-6B) · observed Jun 27, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: rag_api 863 · ChatGLM-6B 41k (synced Jul 11, 2026).
Common questions
- What is the difference between rag_api and ChatGLM-6B?
- rag_api: ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector. ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型. See the comparison table for live GitHub stats and shared categories.
- When should I choose rag_api over ChatGLM-6B?
- Choose rag_api over ChatGLM-6B when License: rag_api is MIT, ChatGLM-6B is Apache-2.0; Tags unique to rag_api: postgresql, psql, embeddings, fastapi; rag_api ships Docker support for self-hosted deployment; When you need rapid integration of REST API services for Retrieval-Augmented Generation (RAG) with robust vector storage.
- When should I choose ChatGLM-6B over rag_api?
- Choose ChatGLM-6B over rag_api when License: ChatGLM-6B is Apache-2.0, rag_api is MIT; Tags unique to ChatGLM-6B: python; Also covers LLM Frameworks.
- 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 ChatGLM-6B?
- Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Is rag_api or ChatGLM-6B more popular on GitHub?
- ChatGLM-6B has more GitHub stars (41,035 vs 863). Stars measure visibility, not whether either tool fits your constraints.
- Are rag_api and ChatGLM-6B open source?
- Yes - both are open-source projects on GitHub (rag_api: MIT, ChatGLM-6B: Apache-2.0).
- Where can I find alternatives to rag_api or ChatGLM-6B?
- GraphCanon lists graph-backed alternatives at rag_api alternatives and ChatGLM-6B alternatives (rag_api markdown twin, ChatGLM-6B 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 ChatGLM-6B?
- rag_api: Active. ChatGLM-6B: 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 rag_api and ChatGLM-6B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rag_api trust report; ChatGLM-6B trust report.