AI skills and agents for developers

mmBERT-base

jhu-clsp · Kit

Reads and encodes text in over 1,800 languages, for classification, embeddings, retrieval and fill-in-the-blank tasks. Built for developers and researchers who…

Yalda Embedding

Yaldat · Kit

Turns Persian text into 1,024-number embeddings for semantic search and retrieval. Built for developers who need to match Persian questions to the right passag…

bge-small-en-v1.5-GGUF

unsloth · Kit

Turns English text into embeddings for search and retrieval, in a small GGUF file of 33.2M parameters. For developers who build search or retrieval apps on mod…

pplx-embed-v2-context-9b

perplexity-ai · Kit

Turns text, images and document pages into vectors for search, and can embed each chunk with its surrounding document in view. For developers who build retriev…

DeepSeek-V4.1-Flash-NVFP4

nvidia · Kit

Reads text and images and writes text, as a smaller NVFP4 copy of DeepSeek-V4.1-Flash made by NVIDIA. For developers deploying agents, chatbots and retrieval s…

harrier-oss-v1-27b

microsoft · Kit

Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…

mSlideOn

lightonai · Kit

Turns queries and documents into sparse vectors you can search with an inverted index, across several languages and long text. A 339M multilingual retrieval mo…

Granite RAG Library

ibm-granite · Kit

Adds six LoRA adapters for IBM Granite models that rewrite queries, ask for clarification, judge passages, check answerability and flag hallucinations in RAG p…

hs-rerank-1

hindsight-ai · Kit

Scores how well each document answers a query, in eight languages and for inputs up to 8,192 tokens, so a search or memory system can put the best matches firs…

UIBK-Embedding-v1

DataScience-UIBK · Kit

Finds the passages that best match a query, using one model that combines token level and whole text matching. An English retrieval model from the University o…

Chroma Context-1

chromadb · Kit

A 20B-parameter search model that finds supporting documents for complex, multi-step questions and trims its own working context as it goes. Meant to act as a…

bge-small-en-v1.5

BAAI · Kit

A small English text embedding model from BAAI that turns sentences into vectors for search and retrieval. About 33M parameters, and part of the FlagEmbedding…

bge-base-en-v1.5

BAAI · Kit

Turns English text into number vectors for search and retrieval. A 109M-parameter embedding model from BAAI, for developers who build semantic search or retrie…

ModernBERT-large

answerdotai · Kit

Predicts a hidden word in English text or code, and after fine-tuning serves as a larger long-context encoder for search, classification and retrieval. Made fo…

ModernBERT-base

answerdotai · Kit

Predicts a hidden word in English text or code, and after fine-tuning serves as a long-context encoder for search, classification and retrieval. Made for devel…

Qwen3-Embedding-0.6B-GGUF

Qwen · Kit

Turns text into number vectors for search, retrieval and clustering in more than 100 languages, as a 0.6B model in GGUF format. Suits developers building searc…

SPARSEUP

Linkup-Platform · Kit

A 188M-parameter English sparse retrieval model from Linkup that turns queries and documents into weighted word lists for search. It scores 56.4 on BEIR, the b…

multilingual-e5-large

intfloat · Kit

Turns text in about 100 languages into 1024-number vectors for search, matching and retrieval. A 560M-parameter embedding model from intfloat, built on xlm-rob…

bekko-static-v1-slim-100k

flowercomputers · Kit

Turns text into 1024-dimension vectors with a static embedding model, trimmed to 25 languages. Fast sentence similarity and retrieval, without a transformer, i…

V-JEPA 2

facebook · Kit

Turns videos and images into embeddings for video classification, retrieval, or as the video encoder of a vision-language model. Built by FAIR at Meta for deve…

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…