tencent/R3-embedding-0.6b

R3-Embedding-0.6B

The latest agent skill retrieval model at the 0.6B scale. R3-Embedding is the bi-encoder (recall) stage of R3-Skill's two-stage retriever for query-conditional agent skill retrieval. It embeds a query and every skill independently and ranks candidates by cosine similarity, paired with R3-Rerank-0.6B for reranking.

• 📄 Paper: Skill Is Not Document: A Query-Conditional Benchmark and Two-Stage Retriever for LLM Agent Skill Routing
• 💻 Code: Tencent/R3-Skill

Usage

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("tencent/R3-embedding-0.6b", trust_remote_code=True)
qv = model.encode(
["Instruct: Given a user request, retrieve the agent skill that solves it.\nQuery: I need to compose music"],
normalize_embeddings=True,
)

Citation

@inproceedings{r3skill2026,
title = {Skill Is Not Document: A Query-Conditional Benchmark and Two-Stage Retriever for LLM Agent Skill Routing},
author = {Wang, Zifei and Wen, Wei and Ji, Qiang and Qiao, Ruizhi and Sun, Xing},
year = {2026},
url = {https://arxiv.org/abs/2606.03565},
}