AI skills and agents for developers

voyage-4-nano

MongoDB · Kit

Multilingual text embedding model of 346M parameters from the Voyage 4 series, for semantic search and retrieval, with flexible vector sizes. For developers bu…

SlideOn

lightonai · Kit

An English sparse retrieval model from LightOn that turns queries and documents into sparse vectors for inverted-index search. It suits search engineers and de…

UltraBERT-380M

dmis-lab · Kit

Predicts masked words in English text and gives you a pre-trained encoder with a 32K context to fine-tune for classification or retrieval. A fill-mask model fr…

nomic-embed-text-v1.5

nomic-ai · Kit

Turns English text into embedding vectors for search, clustering and classification, and the vectors can be cut to a smaller size. It suits developers building…

Qwen3-Embedding-4B

Qwen · Kit

Turns text and code in over 100 languages into vectors for search, retrieval, classification and clustering, with adjustable vector size and task instructions,…

harrier-oss-v1-0.6b

microsoft · Kit

Turns text in many languages into number vectors for search, clustering and similarity matching, a 0.6B embedding model from Microsoft for developers building…

Qwen3-Reranker-0.6B

Qwen · Kit

Scores how well each passage answers a query, to put the best passages first in search and retrieval systems. A 0.6B text reranking model covering over 100 lan…

embeddinggemma-2-GGUF

unsloth · Kit

Turns text into 768-dimensional vectors for on-device search, retrieval and clustering. The base model also covers images, video and audio. Packaged as GGUF by…

bge-reranker-v2-m3

BAAI · Kit

Scores how well a passage answers a query so you can reorder search results, across many languages. Takes a question and a document and returns one relevance s…

Qwen3-Embedding-8B

Qwen · Kit

Turns text into vectors for search, code retrieval, classification and clustering, in over 100 languages. The 8B model in Qwen's embedding family, with adjusta…

KURE-Sparse-nano

nlpai-lab · Kit

A compact Korean and English sparse retrieval model that turns queries and documents into sparse vectors for search over an inverted index, for teams building…

Qwen3-Embedding-0.6B

Qwen · Kit

Turns text into number vectors for search, retrieval, classification and clustering, in over 100 languages including code. The smallest, 0.6B-parameter text em…

bge-m3

BAAI · Kit

Turns text in more than 100 languages into vectors for search, from short sentences to documents of 8192 tokens. It supports dense, multi-vector and sparse ret…

all-MiniLM-L6-v2

sentence-transformers · Kit

Turns sentences and short paragraphs into 384-dimensional vectors for semantic search, clustering and sentence similarity. For developers building English sear…

embeddinggemma-2

google · Kit

Google DeepMind's open embedding model that places text, code, images, video and audio in one 768 number vector space, built to run on laptops and phones. Suit…

ColPali and Vespa Visual Retrieval

vespa-engine · Kit

Demonstrates visual retrieval built on ColPali models and Vespa, as a Gradio app you can open online or run on your own computer. For search developers and res…

gbrain

garrytan · Kit

Gives the AI agent you already use a memory you control, storing facts with their sources and allowing corrections and withdrawal. It starts keyless with keywo…

Claude Cookbooks

anthropics · Kit

Anthropic’s notebooks and Python examples for building with the Claude API. Folders cover tool use, retrieval, Skills, Claude Agent SDK and Managed Agents. The…