Hugging Face · Embeddings

Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.

Orchestra-Research/AI-Research-SKILLs

Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.

huggingface/skills

Routes a sentence-transformers training task to the right model type and required reference docs and example scripts, covering bi-encoders, rerankers, sparse and multi-vector models.

huggingface/skills

Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al.

JimLiu/science-skills

Generates text embeddings locally with the sentence-transformers library for RAG, semantic search, clustering and similarity, with model picks for general, multilingual and legal text.

Orchestra-Research/AI-Research-SKILLs

Search all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face).

taishi-i/awesome-japanese-nlp-resources

Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining.

NVIDIA/skills

Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint.

NVIDIA/skills

Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models.

rand/cc-polymath

Add embeddings to Unstructured elements with provider-specific encoders, credential-safe configuration, and metadata-preserving enrichment checks.

VectorSpaceLab/AREX-Skill

Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks).

lazyFrogLOL/Harness_Engineering