Comparison
AutoRAG vs raglite
Verdict
Pick AutoRAG if autoRAG: Automate RAG task evaluation and optimization using AutoML techniques; pick raglite if rAGLite offers specialized capabilities for integrating Retrieval-Augmented Generation (RAG) models with DuckDB or PostgreSQL.
Markdown twin · AutoRAG alternatives · raglite alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | AutoRAG | raglite |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 7, 2026 · github_public_v1 | Steady (33d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 7, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- AutoRAG
- Open-source framework for RAG evaluation and optimization via AutoML
- raglite
- Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Stars
- AutoRAG
- 5.1k
- raglite
- 1.2k
Forks
- AutoRAG
- 434
- raglite
- 109
Open issues
- AutoRAG
- 125
- raglite
- 14
Language
- AutoRAG
- TypeScript
- raglite
- Python
Adopt for
- AutoRAG
- AutoRAG: Automate RAG task evaluation and optimization using AutoML techniques.
- raglite
- RAGLite offers specialized capabilities for integrating Retrieval-Augmented Generation (RAG) models with DuckDB or PostgreSQL.
Persona
- AutoRAG
- -
- raglite
- -
Runtime
- AutoRAG
- -
- raglite
- -
License
- AutoRAG
- Apache-2.0 licensed, allowing free use in commercial projects while retaining copyright notices.
- raglite
- MPL-2.0
Last pushed
- AutoRAG
- Sep 7, 2026
- raglite
- Aug 17, 2026
Categories
- AutoRAG
- Evaluation & Observability, Model Training
- raglite
- Data & Retrieval, Model Training
Trust and health
Maintenance
- AutoRAG
- Very active (96%)
- raglite
- Steady (60%)
Days since push
- AutoRAG
- 0d
- raglite
- 33d
Open issues (now)
- AutoRAG
- 125
- raglite
- 14
Stars delta
- AutoRAG
- +92 (30d)
- raglite
- +6 (30d)
Open issues delta
- AutoRAG
- +2 (30d)
- raglite
- +1 (30d)
Full report
- AutoRAG
- Trust report
- raglite
- Trust report
Choose AutoRAG if…
- AutoRAG is primarily TypeScript; raglite is Python.
- License: AutoRAG is Apache-2.0, raglite is MPL-2.0.
- Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser.
- Also covers Evaluation & Observability.
- Automated benchmarking is needed for retrieval-augmented generation tasks
When NOT to use AutoRAG
- Requirements exceed capabilities of open-source tools
- No need for RAG-specific optimization and evaluation features
Choose raglite if…
- raglite is primarily Python; AutoRAG is TypeScript.
- License: raglite is MPL-2.0, AutoRAG is Apache-2.0.
- 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 (Marker-Inc-Korea/AutoRAG) · observed Sep 20, 2026
- GitHub forks (Marker-Inc-Korea/AutoRAG) · observed Sep 20, 2026
- Last push (Marker-Inc-Korea/AutoRAG) · observed Sep 7, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (superlinear-ai/raglite) · observed Sep 20, 2026
- GitHub forks (superlinear-ai/raglite) · observed Sep 20, 2026
- Last push (superlinear-ai/raglite) · observed Aug 17, 2026
- License file (MPL-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoRAG 5.1k · raglite 1.2k (synced Sep 20, 2026).
Common questions
- What is the difference between AutoRAG and raglite?
- AutoRAG: Open-source framework for RAG evaluation and optimization via AutoML. 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 AutoRAG over raglite?
- Choose AutoRAG over raglite when AutoRAG is primarily TypeScript; raglite is Python; License: AutoRAG is Apache-2.0, raglite is MPL-2.0; Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser; Also covers Evaluation & Observability; Automated benchmarking is needed for retrieval-augmented generation tasks.
- When should I choose raglite over AutoRAG?
- Choose raglite over AutoRAG when raglite is primarily Python; AutoRAG is TypeScript; License: raglite is MPL-2.0, AutoRAG is Apache-2.0; 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 AutoRAG?
- Requirements exceed capabilities of open-source tools No need for RAG-specific optimization and evaluation features
- 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 AutoRAG or raglite more popular on GitHub?
- AutoRAG has more GitHub stars (5,060 vs 1,202). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoRAG and raglite open source?
- Yes - both are open-source projects on GitHub (AutoRAG: Apache-2.0, raglite: MPL-2.0).
- Where can I find alternatives to AutoRAG or raglite?
- GraphCanon lists graph-backed alternatives at AutoRAG alternatives and raglite alternatives (AutoRAG 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, AutoRAG or raglite?
- AutoRAG: Very active. raglite: 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 AutoRAG and raglite?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoRAG trust report; raglite trust report.