LEADER: stanfordnlp/dspy
| Field | Value |
|---|---|
| URL | https://github.com/stanfordnlp/dspy |
| Commit SHA | da1f0871ec8f34e913ecde7c5ebab473022b9c63 |
| License | MIT |
| License URL | https://github.com/stanfordnlp/dspy/blob/main/LICENSE |
| Source file absorbed | dspy/retrievers/embeddings.py |
| Lines absorbed | 7 (normalize + dot-product cosine pattern from _batch_forward and _rerank_and_predict) |
Why DSPy
- MIT license — fully permissive, doctrine-compliant.
dspy/retrievers/embeddings.pyimplements brute-force cosine similarity for small corpora (< 20 000 items) that maps directly onto our PIRWA + QILLQA stores.- Core pattern absorbed: normalize embeddings → dot-product → argsort → top-k. Reproduced in 9 lines without any DSPy dependency.