A candidate-scoring head returns distributions for gates, routes and scores without decoding prose or JSON answers. The README compares a benchmark-trained AgentJev specialist with Jev 1.13.0 evaluated zero-shot; these use different training conditions.
laya-jev-GraphRAG: A database-agnostic Agentic GraphRAG framework
bodepudimuneendra-netizen/laya-jev-GraphRAG
VerifiedResearchDocumented
laya-jev-GraphRAG: A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). See Jev references and source code.
Repository description: A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). A plug-and-play intelligence layer featuring a complete 4-phase pipeline, continuous evaluation and custom A* traversal for any graph database.
What you can build with it
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/bodepudimuneendra-netizen/laya-jev-GraphRAG.gitProject facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- Apache-2.0
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-23
- Last code update
- 2026-09-25
- GitHub stars
- 41
- Evidence checked
- Sep 28, 2026
- Metadata checked
- Sep 28, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
| Model | `convaiinnovations/laya-typed-decisions` 421M | `jev-1.13` (TypeSafe) |
Evidence commit: 524a2df39c79df578ef34442fbd41b080dabbde3
Discovered through: github-search, awesome-jev.
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