Sentence Similarity
sentence-transformers
English
ros2
ros
robotics
rag
retrieval
faiss
documentation
qwen
offline
Instructions to use eoinedge/ros2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use eoinedge/ros2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("eoinedge/ros2") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
ROS 2 docs RAG index and tooling
Browse files- index/meta.json +8 -0
index/meta.json
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{
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"embedding_model": "sentence-transformers/all-MiniLM-L6-v2",
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"dimensions": 384,
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"chunks": 5134,
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"documents": 341,
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"index": "IndexFlatIP (cosine over normalised vectors)",
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"source": "repository: https://github.com/ros2/ros2_documentation.git\nref: rolling\ncommit: a74c8f1\nfiles: 342\n"
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}
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