| license: mit | |
| A small English embedding model by BAAI (Beijing Academy of Artificial Intelligence). | |
| This repository hosts the versions of the model used by Understand to generate embeddings for semantic search, allowing users to search their codebase by meaning rather than exact keyword matches. | |
| - `bge-small-en-v1.5-f16.gguf` — GGUF (F16), served by ullama with `--embeddings`. | |
| Used by Understand 2026 and later. 384 dimensions, CLS pooling, 512-token context. | |
| - `bge-small-en-v1.5.onnx` + `bge-small-en-v1.5-tokenizer.json` — ONNX, used by the | |
| retired undaiserver. Kept for older releases. | |
| The GGUF was converted from `BAAI/bge-small-en-v1.5` with llama.cpp's | |
| `convert_hf_to_gguf.py`; its vectors match the reference implementation | |
| (cosine similarity 1.00000). Note the ONNX path used mean pooling while the | |
| GGUF uses BGE's specified CLS pooling, so indexes built with one are not | |
| comparable with the other. | |