sentence-transformers How to use hharsha/agentic-systems-minilm with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("hharsha/agentic-systems-minilm")
sentences = [
"hybrid search and reranking for RAG",
"RetrievalLab shows advanced RAG with hybrid search and cross-encoder reranking.",
"A cooking recipe for pasta carbonara.",
"AgentFleet runs multi-agent task DAGs with cost governance."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
