Comparison
DB-GPT-Hub vs raglite
Verdict
Pick DB-GPT-Hub if dB-GPT-Hub offers resources for improving DB-GPT's Text-to-SQL capabilities through fine-tuning techniques and relevant datasets; pick raglite if rAGLite offers specialized capabilities for integrating Retrieval-Augmented Generation (RAG) models with DuckDB or PostgreSQL.
Markdown twin · DB-GPT-Hub alternatives · raglite alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | DB-GPT-Hub | raglite |
|---|---|---|
| Maintenance | Dormant (387d since push) As of 3w · github_public_v1 | Active (14d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- DB-GPT-Hub
- Repository for DB-GPT models, datasets, and techniques aimed at Text-to-SQL performance enhancement.
- raglite
- Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Stars
- DB-GPT-Hub
- 2.0k
- raglite
- 1.2k
Forks
- DB-GPT-Hub
- 250
- raglite
- 108
Open issues
- DB-GPT-Hub
- 73
- raglite
- 13
Language
- DB-GPT-Hub
- Python
- raglite
- Python
Adopt for
- DB-GPT-Hub
- DB-GPT-Hub offers resources for improving DB-GPT's Text-to-SQL capabilities through fine-tuning techniques and relevant datasets.
- raglite
- RAGLite offers specialized capabilities for integrating Retrieval-Augmented Generation (RAG) models with DuckDB or PostgreSQL.
Persona
- DB-GPT-Hub
- -
- raglite
- -
Runtime
- DB-GPT-Hub
- -
- raglite
- -
License
- DB-GPT-Hub
- MIT
- raglite
- MPL-2.0
Last pushed
- DB-GPT-Hub
- Jul 2, 2025
- raglite
- Jul 9, 2026
Categories
- DB-GPT-Hub
- LLM Frameworks, Model Training
- raglite
- Data & Retrieval, Model Training
Trust and health
Maintenance
- DB-GPT-Hub
- Dormant (18%)
- raglite
- Active (82%)
Days since push
- DB-GPT-Hub
- 387d
- raglite
- 14d
Open issues (now)
- DB-GPT-Hub
- 73
- raglite
- 13
Full report
- DB-GPT-Hub
- Trust report
- raglite
- Trust report
Shared compatibility
- Python · DB-GPT-Hub: Python runtime · raglite: Python runtime
Choose DB-GPT-Hub if…
- License: DB-GPT-Hub is MIT, raglite is MPL-2.0.
- Tags unique to DB-GPT-Hub: database, datasets, fine-tuning, gpt.
- Also covers LLM Frameworks.
- Use when you need to improve Text-to-SQL performance specifically with the DB-GPT model, as this repository is specialized for enhancing its functionalities.
When NOT to use DB-GPT-Hub
- Avoid using when your project does not involve the DB-GPT model, as resources and techniques here are tailor-made for this specific model.
- Do not utilize if you require immediate results without the need for model customization or performance enhancement through fine-tuning.
Choose raglite if…
- License: raglite is MPL-2.0, DB-GPT-Hub is MIT.
- Tags unique to raglite: chainlit, colbert, duckdb, evals.
- Also covers Data & Retrieval.
- raglite ships Docker support for self-hosted deployment.
- - You need to leverage Retriever-Reader architectures specifically optimized for either DuckDB or PostgreSQL backend databases.
When NOT to use raglite
- - The project demands integration with RAG systems that natively support database backends other than DuckDB and PostgreSQL, as RAGLite is limited to these two options.
- - You are looking for a more generalized framework that supports multiple vector search engines besides those compatible with DuckDB or PostgreSQL.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (eosphoros-ai/DB-GPT-Hub) · observed Jul 24, 2026
- GitHub forks (eosphoros-ai/DB-GPT-Hub) · observed Jul 24, 2026
- Last push (eosphoros-ai/DB-GPT-Hub) · observed Jul 2, 2025
- License file (MIT) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (superlinear-ai/raglite) · observed Jul 23, 2026
- GitHub forks (superlinear-ai/raglite) · observed Jul 23, 2026
- Last push (superlinear-ai/raglite) · observed Jul 9, 2026
- License file (MPL-2.0) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DB-GPT-Hub 2.0k · raglite 1.2k (synced Jul 24, 2026).
Common questions
- What is the difference between DB-GPT-Hub and raglite?
- DB-GPT-Hub: Repository for DB-GPT models, datasets, and techniques aimed at Text-to-SQL performance enhancement.. raglite: Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL. See the comparison table for live GitHub stats and shared categories.
- When should I choose DB-GPT-Hub over raglite?
- Choose DB-GPT-Hub over raglite when License: DB-GPT-Hub is MIT, raglite is MPL-2.0; Tags unique to DB-GPT-Hub: database, datasets, fine-tuning, gpt; Also covers LLM Frameworks; Use when you need to improve Text-to-SQL performance specifically with the DB-GPT model, as this repository is specialized for enhancing its functionalities.
- When should I choose raglite over DB-GPT-Hub?
- Choose raglite over DB-GPT-Hub when License: raglite is MPL-2.0, DB-GPT-Hub is MIT; Tags unique to raglite: chainlit, colbert, duckdb, evals; Also covers Data & Retrieval; raglite ships Docker support for self-hosted deployment; - You need to leverage Retriever-Reader architectures specifically optimized for either DuckDB or PostgreSQL backend databases.
- When should I avoid DB-GPT-Hub?
- Avoid using when your project does not involve the DB-GPT model, as resources and techniques here are tailor-made for this specific model. Do not utilize if you require immediate results without the need for model customization or performance enhancement through fine-tuning.
- When should I avoid raglite?
- - The project demands integration with RAG systems that natively support database backends other than DuckDB and PostgreSQL, as RAGLite is limited to these two options. - You are looking for a more generalized framework that supports multiple vector search engines besides those compatible with DuckDB or PostgreSQL.
- Is DB-GPT-Hub or raglite more popular on GitHub?
- DB-GPT-Hub has more GitHub stars (2,001 vs 1,196). Stars measure visibility, not whether either tool fits your constraints.
- Are DB-GPT-Hub and raglite open source?
- Yes - both are open-source projects on GitHub (DB-GPT-Hub: MIT, raglite: MPL-2.0).
- Where can I find alternatives to DB-GPT-Hub or raglite?
- GraphCanon lists graph-backed alternatives at DB-GPT-Hub alternatives and raglite alternatives (DB-GPT-Hub markdown twin, raglite 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, DB-GPT-Hub or raglite?
- DB-GPT-Hub: Dormant. raglite: 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 DB-GPT-Hub and raglite?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DB-GPT-Hub trust report; raglite trust report.