RelationalRAG-Tables Model Sources
This repository is a public model/source manifest for the RelationalRAG-Tables artifact. The artifact does not contain local trained checkpoint files; the learned verifier is trained by the artifact scripts, and the real-data layer uses public upstream models.
Upstream Models Used
| Component | Identifier / Link | Role |
|---|---|---|
| Sentence embedding | BAAI/bge-small-en-v1.5 |
Value/entity embedding features |
| Cross-encoder | cross-encoder/ms-marco-MiniLM-L-6-v2 |
Strong reranker / entity-matching baseline |
| SQL coder, 7B | Qwen/Qwen2.5-Coder-7B-Instruct |
Text-to-SQL execution runs; artifact uses a local 4-bit MLX deployment |
| SQL coder, 14B | Qwen/Qwen2.5-Coder-14B-Instruct |
Scale check; artifact uses a local 4-bit MLX deployment |
Artifact Data
The public fixture/result payloads are available at:
https://huggingface.co/datasets/lexuanbach/relationalrag-tables-artifact-data
Note On Checkpoints
No additional trained neural weights are uploaded here because the artifact does not ship persistent verifier checkpoints. The small MLP/ensemble verifier is retrained from deterministic fixtures by the reproduction scripts.
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